Pajek - Vladimir Batagelj
Transcription
Pajek - Vladimir Batagelj
$ ' Analiza velikih omrežij Vladimir Batagelj Univerza v Ljubljani FMF, matematika KartOO network net konferenca 2007 Ljubljana, 31. januar 2007 & % version: 22. januar 2007 / 05 : 27 V. Batagelj: Analiza velikih omrežij 1 ' $ Kazalo 1 Omrežja – osnovni pojmi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 6 Pajek . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 7 Pajek in velika omrežja . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 9 Pristopi k analizi velikih omrežij . . . . . . . . . . . . . . . . . . . . . . . . . . 9 10 12 14 20 Vmesnost . . . . . . . . . . Kazala in vsebine . . . . . . Otoki . . . . . . . . . . . . . Sredice in posplošene sredice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 12 14 20 23 Dvovrstna omrežja . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 24 Omrežje z They Rule . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 25 Omrežja iz podatkovnih tabel . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 27 Primer: Evropski projekti na temo simulacij . . . . . . . . . . . . . . . . . . . . 27 34 Pretvorba dvovrstnih omrežij na enovrstna . . . . . . . . . . . . . . . . . . . . . 34 38 42 Dvovrstne sredice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Izbrane knjige o analizi omrežij . . . . . . . . . . . . . . . . . . . . . . . . . . 38 42 s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 1 ' $ Omrežja – osnovni pojmi Alexandra Schuler/ Marion Laging-Glaser: Analyse von Snoopy Comics Osnovni sestavini omrežja sta množica točk, ki predstavljajo izbrane enote, in množica povezav, ki predstavljajo odnose (relacije) med enotami. Točke in povezave določajo graf . Pri povezavi je lahko smer pomembna – usmerjena povezava, ali pa ni neusmerjena povezava. O točkah in povezavah lahko poznamo dodatne podatke – njihove lastnosti. Npr. oznaka, vrsta, vrednost, . . . Omrežje = Graf + Podatki Ti podatki so lahko izmerjeni ali izračunani. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 2 ' $ Graf enota – točka, vozlišče relacija – povezava usmerjena povezava (a, d) a je njen začetek d pa njen konec. neusmerjena povezava (c: d) c in d sta njeni krajišči. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 3 ' $ Omrežja Omrežje N = (V, L, P, W) je določeno z: • grafom G = (V, L), kjer je V množica točk, A je množica usmerjenih povezav, in E je množica neusmerjenih povezav. Z L = E ∪ A označimo množico vseh povezav. n = |V|, m = |L| • P lastnosti / točkovne vrednosti: p : V → A • W uteži / povezavne vrednosti: w : L → B Velikost omrežja/grafa je določena z dvema številoma: številom točk n = |V| in številom povezav m = |L|. Omrežja na nekaj deset točkah so majhna – lahko jih narišemo in za njihovo analizo uporabimo veliko algoritmov (UCINET, NetMiner). Tudi srednje velika omrežja (nekaj sto točk) še lahko narišemo (preglednost !?), nekateri postopki že odpovejo. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 4 ' $ Velika omrežja Veliko omrežje – več tisoč ali celo milijonov točk. V celoti ga lahko shranimo v pomnilnik računalnika – sicer ogromno omrežje. Velika omrežja so postala dejstvo sredi devetdesetih let. Običajno so redka m << n2 ; pogosto: m = O(n) ali m = O(n log n) . Primeri: omrežje slovar ODLIS Sklicevanja SOM Molekula 1ATN Comput. geometry angleške besede 2-8 Internetske iskalne poti Rodovnik Franklin World-Wide-Web Igralci Patenti ZDA SI internet velikost 61K 168K 74K 140K 520K 1.7M 12M 3.6M 3.9M 82M 38M n = |V| 2909 4470 5020 7343 52652 124651 203909 325729 392400 3774768 5547916 m = |L| 18419 12731 5128 11898 89038 207214 195650 1497135 1342595 16522438 62259968 vir ODLIS online Garfieldova zbirka Brookhaven PDB BiBTEX bibliographies Knuth’s English words Internet Mapping Project Roperld.com gedcoms Notre Dame Networks Notre Dame Networks Nber Najdi Si s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 5 ' $ Zahtevnost algoritmov Poglejmo časovne zahtevnosti nekaj značilnih algoritmov (1999, Pentium/64M/90MHz): Shuffle HeapSort AB T(n) 1.000 10.000 100.000 1.000.000 10.000.000 O(n) 0.00 s 0.015 s 0.17 s 2.22 s 22.2 s O(n log n) √ O(n n) 0.00 s 0.06 s 0.98 s 14.4 s 2.8 m 0.01 s 0.32 s 10.0 s 5.27 m 2.78 h Insert sort O(n2 ) 0.07 s 7.50 s 12.5 m 20.8 h 86.8 d XY O(n3 ) 0.10 s 1.67 m 1.16 d 3.17 L 3.17 kL Za interaktivno uporabo na velikih podatkih so že kvadratični algoritmi, O(n2 ), prezahtevni. s s l y s y s s Ljubljana, 31. januar 2007 s Pri algoritmih eksponentne zahtevnosti, npr. O(2n ), časovne zahteve naraščajo izjemno hitro. Recimo, da za n = 20 potrebujemo 1 s, tedaj za n = 30 potrebujemo 210 s = 1024 s = 17 m; za n = 40 dobimo 1048576 s = 12.14 d; za n = 50 že 1073741824 s = 34.05 L; . . . za n = 80 pa z 36.56 109 L presežemo domnevno starost Zemlje. & % * 6 V. Batagelj: Analiza velikih omrežij 6 ' $ Pajek Pajek je program za okolje Windows za analizo in prikaz velikih omrežij. Z Andrejem Mrvarjem sva ga začela razvijati leta 1996. Knjiga: W. de Nooy, A. Mrvar, V. Batagelj: Exploratory Social Network Analysis with Pajek, CUP, 2005. Amazon. stran ESNA. Zadnja izdaja programa Pajek je prosto dostopna (za netržne uporabe) na: http://vlado.fmf.uni-lj.si/pub/networks/pajek/ s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 7 ' $ Pajek in velika omrežja Glavni cilji v zasnovi programa Pajek so: • podpora abstrakciji z (rekurzivnim) razčlenjevanjem velikega omrežja v več manjših, ki jih lahko v nadaljevanju posamično obdelamo z zahtevnejšimi postopki; • ponuditi uporabniku izbor orodij za prikaz omrežij; • izbrati/razviti nabor učinkovitih podkvadratičnih algoritmov za analizo velikih omrežij. S Pajekom lahko: določimo zanimive skupine (komponente, soseščine ‘pomembnih’ točk, sredice, . . . ) v omrežju, izrežemo del omrežja, ki pripada izbranim skupinam in ga ločeno prikažemo; lahko s ’povzetkom vpetosti’ v celotno omrežje (lokalni pogled), skrčimo točke, ki pripadajo isti skupini, in prikažemo odnose med skupinami (globalni pogled). s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 8 ' $ Prikaz omrežij Pomembna sestavina analize omrežij so prikazi (delov) omrežij. Prikaze lahko ustvarimo programsko (vzmetne vložitve) ali ročno. Za posebne vrste omrežij obstajajo posebni načini prikazov. Npr. aciklična omrežja lahko prikažemo po ravneh. Prikažemo lahko tudi izbrane lastnosti točk in povezav. Primer: šolarji (Moody). s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 9 ' $ Pristopi k analizi velikih omrežij 1 e+06 US Patents degree distribution ● ● ● ● ● ● ● 1 e+00 1 e+02 freq 1 e+04 ● ●● ●● ●● ●● ●● ●● ●● ●● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ●● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ●● ● ●● ● ● ● ● ●● ● ● ● ●● ●●● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ●● ●● ● ● ● ● ● ●● ● ● ●● ● ●●● ● ● ●● ●● ●●● ●●● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ●● ● ● ● ● ●● ● ● ● ● ●● ●● ● ●● ●● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ●●●● ●● ● 1 5 10 50 deg 100 500 1000 Običajni pristop k analizi velikih podatkovij je statistika. V zadnjih desetih letih deležni velike pozornosti brezlestvični (scale free) verjetnostni modeli omrežij. Druga pot so postopki za določanje zanimivih delov omrežij in razkrivanje zgradbe omrežja. V tem sestavku bomo prikazali pomembnejše izmed njih. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 10 ' $ Vmesnost Obstaja cela vrsta mer pomembnosti točk, ki številsko izrazijo vlogo točke v omrežju. Kot primer take mere si poglejmo vmesnost. Pomembne so točke, ki lahko nadzirajo pretok podatkov po omrežju. Če privzamemo, da so za prenos pomembne le najkrajše poti, dobimo kot mero vmesnosti (Anthonisse 1971, Freeman 1977) 1 b(v) = (n − 1)(n − 2) X u,t∈V:gu,t >0 u6=v,t6=v,u6=t gu,t (v) gu,t kjer je gu,t število najkrajših poti iz u v t; in gu,t (v) število takih med njimi, ki gredo skozi točko v. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 11 ' $ Krebsova Internetska podjetja – vmesnost CVS BestBuy DeloitteToucheTohmatsu RadioShack AskJeeves MapInfo BT Slate B&N CapGemini Verizon PivotalSoftware VerticalNet BankOne Excite Verity Comcast Unisys Spyglass BaltimoreTechnologies JuniperNetworks Handspring Cablevision Disney/ABC LiquidAudio WebMD DoubleClick XOComm. NewsCorp Audible NortelNetworksNBC CharlesSchwab AutoTrader McAfee BellSouth QXL.com Ford CheckPoint NTT LookSmart C&W EDS WellsFargo Qualcomm MSFT Starbucks Prodigy MP3.com KPMG AberdeenGroup Netopia RSA CSC Broadcom Staples Dell eBay EMC Yahoo! Net2Phone BofA Drugstore GlobalCrossing Amazon CMGI Samsung RIM Fujitsu ToysRUs Borders LibertyMedia CheckFreeGateway Siemens Buy.com IDT CNN CareerMosaic Apple Monster Tibco Travelocity theStreet GeneralInstrument Adobe Livelink HP CircuitCity AmEx Tellabs WebTrends Lucent C|Net Kodak Inktomi AP DigitalIsland Akamai NetworkAssociates Vignette Lumeta Ericsson EarthLink Ariba Cisco divine BellCanada METAGroup OfficeMax MercuryInteractive E.piphany Compaq RealNetworks MediaOne VeriSign Accenture NetworkSolutions Peoplesoft E*Trade Participate.com ExodusComm TerraLycos Palm Loudcloud RedHat ViacomCBS InterNap RoadRunner AOL BMCSoftwareHarbinger Sprint Netcentives CareerBuilder eLance CBS CacheFlow Agency.com IBM EMI CDNow SportsLine Novell Sun Vodafone CIBER ComputerAssociates iPlanet Oxygen USATODAY Netegrity FoundryNetworks TARGET PwC Oracle Kana Intel Universal SBC AlcatelForresterResearch GartnerGroup3COM Teleglobe AvantGo Interliant SoftBank KPNQwest BEASystems Motorola InfoSpace AT&T Nokia AAdvantage AltaVista KMartMacromedia NetZero Siebel Sony Interwoven Bertelsmann Nextel Kinko’s Blockbuster napster VISA moreover.com AnswerThink Sears bowstreet Genuity NaviSite GM UPS SAP WebMethods CommerceOne JDEdwards MapQuest i2 BroadVision Fidelity MicroStrategy Lawson MasterCard GE Veritas Citibank D&B ALLTEL ATG Juno Intuit Level3 WalMart SonusNetworks Omrežje sestavljajo izbrana Internetska podjetja v obdobju 1998 do 2001. n = 219, m = 631. rdeča – vsebina, modra – podpora, zelena – trgovina. Podjetji sta povezani, če sta objavili skupni posel ali sodelovanje. SAS Spletni naslov: orgnet s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 12 ' $ Kazala in vsebine Točkam povezanega usmerjenega omrežja N = (V, L) priredimo dve vrednosti: kakovost vsebine xv in kakovost kazala yv (Kleinberg, 1998). Na dobro vsebino kažejo dobra kazala in dobro kazalo kaže na dobre vsebine X X xv = yu in yv = xu u:(u,v)∈L u:(v,u)∈L Naj bo W matrika omrežja N in x ter y vektorja obeh lastnosti. Tedaj lahko zvezi zapišemo x = WT y oziroma y = Wx. Začnimo z y = [1, 1, . . . , 1] in nato zaporedoma izračunamo po obeh zvezah nove približke za x in y. Oba vektorja po vsakem koraku normaliziramo. To ponavljamo dokler se vektorja ne ustalita. Pokazati je mogoče, da opisani postopek konvergira. Limitni vektor x∗ je glavni lastni vektor matrike WT W; y∗ pa matrike WWT . PageRank, PageRank / Google, HITS / AltaVista, SALSA, teorija. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 13 ' $ . . . Kazala in vsebine: nogometaši IRN KOR IRN KOR AUT TUN FRA AUT TUN FRA CHE CHE DEU DEU CMR CMR JPN JPN ZAF BGR BEL DNK PRT MAR TUR ZAF BGR BEL NOR DNK PRT MAR NGA NGA TUR GRE NOR GRE NLD NLD ROM ROM GBR HRV GBR HRV PRY PRY ESP YUG ESP SCO ITA YUG SCO ITA JAM MEX JAM MEX BRA ARG COL Izvozniki (kazala/hubs) CHL USA BRA USA CHL ARG COL Uvozniki (vsebine/authorities) Na svetovnem nogometnem prvenstvu v Parizu leta 1998 je sodelovalo 22 nogometnih reprezentanc. V omrežju so vse države, iz katerih so nogometaši igrali v ligah teh 22 držav, in vse države, v katerih ligah so igrali nogometaši iz teh 22 držav. Relacija je igralec iz države x igra v državi y; utež je število takih igralcev. Podatke je zbral Lothar Krempel. football.net s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 14 ' $ Otoki Če dano lastnost/utež točk/povezav predstavimo kot njihovo višino, nam naše omrežje določa nekakšno pokrajino s hribi in dolinami. Če to pokrajino potopimo v vodo do izbrane višine, dobimo otoke. S spreminjanjem višine vode dobivamo različne otoke. V uprabah nas običajno zanimajo ne preveliki in ne premajhni otoki – le otoki velikosti med izbranima k in K. Postopek ’otoki’ začne s pokrajino popolnoma potopljeno v vodo. Nato znižujemo višino, dokler se ne pojavi otok prave velikosti . . . s s l y s y s s Ljubljana, 31. januar 2007 s Otoki so zelo splošen in učinkovit postopek za določanje ’pomembnih’ podomrežij v danem omrežju. & % * 6 V. Batagelj: Analiza velikih omrežij 15 ' $ Otoki – The Edinburgh Associative Thesaurus n = 23219, m = 325624, transitivity weight CHAMPIONSHIP PLAYING STUDYING LECTURER FIVES TEAM TEACHER ENGINEERING GAME SOCCER BADMINTON TENNIS LEARNING SCHOOL EDUCATION RUGGER SPORT FOOTBALL TEACHING GOALIE HOMEWORK PLAYER NETBALL WORK GAMES TRAINING LECTURES BALL RUGBY SCIENCE REFEREE HOCKEY BALLS BASKETBALL LESSONS MATHS STUDY SCIENTIFIC RESEARCH SHORTS ACTIVITY GYM BICYCLE BIKE SPIRITS LORRIES MOTOR CYCLE DRIVERS LIQUOR DRUNK ROADS BICYCLES WHISKY KEG BITTER BIKES BEER TRUCK CAR WHISKEY BRANDY MACHINES COACH RAILWAYS GIN DRINK VAN STREET TRAIN RAILWAY LANE BEER-MUG SIPPING MOVING MOBILE ROAD DRY MARTINI SIP STOPPING STOP PATH LEMONADE s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 16 ' $ Štetje poti – Search path count method Metoda štetja poti – search path count method (SPC) temelji na števcih n(u, v), ki štejejo število različnih poti iz izvora s v ponor t, ki gredo čez povezavo (u, v). Hummon in Doreian uteži so takole določene: • search path link count (SPLC) method: utež wl (u, v) je enaka številu “vseh možnih poti po omrežju, ki imajo začetek v izvoru” in gredo po povezavi (u, v) ∈ R. • search path node pair (SPNP) method: wp (u, v) “upošteva vse povezanosti parov točk s potmi, ki gredo po povezavi (u, v) ∈ R”. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 17 ' $ Lastnosti uteži SPC Vrednosti števcev n(u, v) določajo tok po omrežju sklicevanj – zanj velja Kirchoffov točkovni zakon: v vsaki točki u standardnega omrežja sklicevanj velja vstopni tok = izstopni tok: X X n(v, u) = n(u, v) = n− (u) · n+ (u) v:vRu v:uRv Utež n(t, s) je enaka celotnemu toku skozi omrežje in ponuja naravni način normalizacije uteži w(u, v) = n(u, v) n(t, s) ⇒ 0 ≤ w(u, v) ≤ 1 in, če je C minimalni povezavni prerez, velja še P (u,v)∈C w(u, v) = 1. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 18 ' $ Glavna pot in glavni otok v US Patents 5855814 4456712 5683624 5555116 5543077 5124824 5171469 5283677 5122295 5016989 5374374 5016988 5308538 4957349 4877547 4820839 4832462 4797228 4752414 4721367 4704227 4657695 5171469 5122295 4770503 4795579 4877547 4709030 4719032 4695131 4710315 4713197 4659502 4621901 4797228 4630896 4710315 4583826 4510069 4558151 4550981 4659502 4526704 4502974 4514044 4480117 4472293 4472592 4455443 4419263 4422951 4550981 4460770 4526704 4472293 4422951 4415470 4400293 4386007 4330426 4357078 4386007 4349452 4368135 4293434 4290905 4340498 4340498 4387039 4387038 4361494 4302352 4302352 4195916 4229315 4149413 4229315 4202791 4261652 4149413 4198130 4082428 4154697 4113647 4013582 4029595 4130502 4032470 4083797 4082428 4118335 4011173 4077260 4017416 3975286 4011173 4000084 3960752 3954653 3872140 2544659 3675987 3947375 3960752 3876286 3881806 3731986 3795436 3891307 3697150 3636168 3767289 3666948 3322485 3773747 3796479 3795436 2682562 3691755 s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 19 ' $ Glavni otok – Liquid crystal display Table 1: Patents on the liquid-crystal display patent 2544659 2682562 3322485 3636168 3666948 3675987 3691755 3697150 3731986 3767289 3773747 3795436 3796479 3872140 3876286 3881806 3891307 3947375 3954653 3960752 3975286 4000084 4011173 4013582 4017416 4029595 4032470 4077260 4082428 date author(s) and title Mar 13, 1951 Dreyer. Dichroic light-polarizing sheet and the like and the formation and use thereof Jun 29, 1954 Wender, et al. Reduction of aromatic carbinols May 30, 1967 Williams. Electro-optical elements utilazing an organic nematic compound Jan 18, 1972 Josephson. Preparation of polynuclear aromatic compounds May 30, 1972 Mechlowitz, et al. Liquid crystal termal imaging system having an undisturbed image on a disturbed background Jul 11, 1972 Rafuse. Liquid crystal compositions and devices Sep 19, 1972 Girard. Clock with digital display Oct 10, 1972 Wysochi. Electro-optic systems in which an electrophoreticlike or dipolar material is dispersed throughout a liquid crystal to reduce the turn-off time May 8, 1973 Fergason. Display devices utilizing liquid crystal light modulation Oct 23, 1973 Aviram, et al. Class of stable trans-stilbene compounds, some displaying nematic mesophases at or near room temperature and others in a range up to 100◦ C Nov 20, 1973 Steinstrasser. Substituted azoxy benzene compounds Mar 5, 1974 Boller, et al. Nematogenic material which exhibit the Kerr effect at isotropic temperatures Mar 12, 1974 Helfrich, et al. Electro-optical light-modulation cell utilizing a nematogenic material which exhibits the Kerr effect at isotropic temperatures Mar 18, 1975 Klanderman, et al. Liquid crystalline compositions and method Apr 8, 1975 Deutscher, et al. Use of nematic liquid crystalline substances May 6, 1975 Suzuki. Electro-optical display device Jun 24, 1975 Tsukamoto, et al. Phase control of the voltages applied to opposite electrodes for a cholesteric to nematic phase transition display Mar 30, 1976 Gray, et al. Liquid crystal materials and devices May 4, 1976 Yamazaki. Liquid crystal composition having high dielectric anisotropy and display device incorporating same Jun 1, 1976 Klanderman, et al. Liquid crystal compositions Aug 17, 1976 Oh. Low voltage actuated field effect liquid crystals compositions and method of synthesis Dec 28, 1976 Hsieh, et al. Liquid crystal mixtures for electro-optical display devices Mar 8, 1977 Steinstrasser. Modified nematic mixtures with positive dielectric anisotropy Mar 22, 1977 Gavrilovic. Liquid crystal compounds and electro-optic devices incorporating them Apr 12, 1977 Inukai, et al. P-cyanophenyl 4-alkyl-4’-biphenylcarboxylate, method for preparing same and liquid crystal compositions using same Jun 14, 1977 Ross, et al. Novel liquid crystal compounds and electro-optic devices incorporating them Jun 28, 1977 Bloom, et al. Electro-optic device Mar 7, 1978 Gray, et al. Optically active cyano-biphenyl compounds and liquid crystal materials containing them Apr 4, 1978 Hsu. Liquid crystal composition and method Table 2: Patents on the liquid-crystal display patent 4083797 4113647 4118335 4130502 4149413 Apr 11, Sep 12, Oct 3, Dec 19, Apr 17, date 1978 1978 1978 1978 1979 4154697 May 15, 1979 4195916 Apr 1, 1980 4198130 Apr 15, 1980 4202791 May 13, 1980 4229315 Oct 21, 1980 4261652 Apr 14, 1981 4290905 4293434 4302352 Sep 22, 1981 Oct 6, 1981 Nov 24, 1981 4330426 May 18, 1982 4340498 4349452 4357078 Jul 20, 1982 Sep 14, 1982 Nov 2, 1982 4361494 4368135 Nov 30, 1982 Jan 11, 1983 4386007 May 31, 1983 4387038 Jun 7, 1983 4387039 Jun 7, 1983 4400293 4415470 Aug 23, 1983 Nov 15, 1983 4419263 Dec 6, 1983 4422951 4455443 4456712 4460770 4472293 Dec Jun Jun Jul Sep 27, 19, 26, 17, 18, 1983 1984 1984 1984 1984 4472592 4480117 4502974 Sep 18, 1984 Oct 30, 1984 Mar 5, 1985 4510069 Apr 9, 1985 author(s) and title Oh. Nematic liquid crystal compositions Coates, et al. Liquid crystalline materials Krause, et al. Liquid crystalline materials of reduced viscosity Eidenschink, et al. Liquid crystalline cyclohexane derivatives Gray, et al. Optically active liquid crystal mixtures and liquid crystal devices containing them Eidenschink, et al. Liquid crystalline hexahydroterphenyl derivatives Coates, et al. Liquid crystal compounds Boller, et al. Liquid crystal mixtures Sato, et al. Nematic liquid crystalline materials Krause, et al. Liquid crystalline cyclohexane derivatives Gray, et al. Liquid crystal compounds and materials and devices containing them Kanbe. Ester compound Deutscher, et al. Liquid crystal compounds Eidenschink, et al. Fluorophenylcyclohexanes, the preparation thereof and their use as components of liquid crystal dielectrics Eidenschink, et al. Cyclohexylbiphenyls, their preparation and use in dielectrics and electrooptical display elements Sugimori. Halogenated ester derivatives Osman, et al. Cyclohexylcyclohexanoates Carr, et al. Liquid crystal compounds containing an alicyclic ring and exhibiting a low dielectric anisotropy and liquid crystal materials and devices incorporating such compounds Osman, et al. Anisotropic cyclohexyl cyclohexylmethyl ethers Osman. Anisotropic compounds with negative or positive DC-anisotropy and low optical anisotropy Krause, et al. Liquid crystalline naphthalene derivatives Fukui, et al. 4-(Trans-4’-alkylcyclohexyl) benzoic acid 4’”-cyano-4”-biphenylyl esters Sugimori, et al. Trans-4-(trans-4’-alkylcyclohexyl)-cyclohexane carboxylic acid 4’”-cyanobiphenyl ester Romer, et al. Liquid crystalline cyclohexylphenyl derivatives Eidenschink, et al. Liquid crystalline fluorine-containing cyclohexylbiphenyls and dielectrics and electro-optical display elements based thereon Praefcke, et al. Liquid crystalline cyclohexylcarbonitrile derivatives Sugimori, et al. Liquid crystal benzene derivatives Takatsu, et al. Nematic halogen Compound Christie, et al. Bismaleimide triazine composition Petrzilka, et al. Liquid crystal mixture Sugimori, et al. High temperature liquid crystal substances of four rings and liquid crystal compositions containing the same Takatsu, et al. Nematic liquid crystalline compounds Takatsu, et al. Nematic liquid crystalline compounds Sugimori, et al. High temperature liquid-crystalline ester compounds Eidenschink, et al. Cyclohexane derivatives Table 3: Patents on the liquid-crystal display patent 4514044 4526704 4550981 4558151 4583826 4621901 4630896 4657695 4659502 4695131 4704227 4709030 4710315 4713197 4719032 4721367 4752414 4770503 4795579 4797228 4820839 4832462 4877547 4957349 5016988 5016989 5122295 5124824 5171469 5283677 5308538 5374374 5543077 5555116 5683624 5855814 date author(s) and title Apr 30, 1985 Gunjima, et al. 1-(Trans-4-alkylcyclohexyl)-2-(trans-4’-(p-sub stituted phenyl) cyclohexyl)ethane and liquid crystal mixture Jul 2, 1985 Petrzilka, et al. Multiring liquid crystal esters Nov 5, 1985 Petrzilka, et al. Liquid crystalline esters and mixtures Dec 10, 1985 Takatsu, et al. Nematic liquid crystalline compounds Apr 22, 1986 Petrzilka, et al. Phenylethanes Nov 11, 1986 Petrzilka, et al. Novel liquid crystal mixtures Dec 23, 1986 Petrzilka, et al. Benzonitriles Apr 14, 1987 Saito, et al. Substituted pyridazines Apr 21, 1987 Fearon, et al. Ethane derivatives Sep 22, 1987 Balkwill, et al. Disubstituted ethanes and their use in liquid crystal materials and devices Nov 3, 1987 Krause, et al. Liquid crystal compounds Nov 24, 1987 Petrzilka, et al. Novel liquid crystal mixtures Dec 1, 1987 Schad, et al. Anisotropic compounds and liquid crystal mixtures therewith Dec 15, 1987 Eidenschink, et al. Nitrogen-containing heterocyclic compounds Jan 12, 1988 Wachtler, et al. Cyclohexane derivatives Jan 26, 1988 Yoshinaga, et al. Liquid crystal device Jun 21, 1988 Eidenschink, et al. Nitrogen-containing heterocyclic compounds Sep 13, 1988 Buchecker, et al. Liquid crystalline compounds Jan 3, 1989 Vauchier, et al. 2,2’-difluoro-4-alkoxy-4’-hydroxydiphenyls and their derivatives, their production process and their use in liquid crystal display devices Jan 10, 1989 Goto, et al. Cyclohexane derivative and liquid crystal composition containing same Apr 11, 1989 Krause, et al. Nitrogen-containing heterocyclic esters May 23, 1989 Clark, et al. Liquid crystal devices Oct 31, 1989 Weber, et al. Liquid crystal display element Sep 18, 1990 Clerc, et al. Active matrix screen for the color display of television pictures, control system and process for producing said screen May 21, 1991 Iimura. Liquid crystal display device with a birefringent compensator May 21, 1991 Okada. Liquid crystal element with improved contrast and brightness Jun 16, 1992 Weber, et al. Matrix liquid crystal display Jun 23, 1992 Kozaki, et al. Liquid crystal display device comprising a retardation compensation layer having a maximum principal refractive index in the thickness direction Dec 15, 1992 Hittich, et al. Liquid-crystal matrix display Feb 1, 1994 Sagawa, et al. Liquid crystal display with ground regions between terminal groups May 3, 1994 Weber, et al. Supertwist liquid-crystal display Dec 20, 1994 Weber, et al. Supertwist liquid-crystal display Aug 6, 1996 Rieger, et al. Nematic liquid-crystal composition Sep 10, 1996 Ishikawa, et al. Liquid crystal display having adjacent electrode terminals set equal in length Nov 4, 1997 Sekiguchi, et al. Liquid crystal composition Jan 5, 1999 Matsui, et al. Liquid crystal compositions and liquid crystal display elements s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 20 ' $ Sredice in posplošene sredice Pojem sredice je vpeljal Seidman leta 1983. Podgraf H = (W, L(W)) grafa G = (V, L) porojen z množico W je k-sredica ali sredica reda k ntk. ∀v ∈ W : degH (v) ≥ k in je H maksimalni podgraf s to lastnostjo. Sredici največjega reda v grafu pravimo tudi glavna sredica. Sredičnost točke v je enaka največjemu redu sredice, ki še vsebuje to točko. Privzemimo, da imamo na N določeno funkcijo p(v, U), v ∈ V, U ⊆ V z realnimi vrednostmi – p-funkcijo. Podgraf H = (C, L(C)) porojen z množico C ⊆ V je p-sredica na ravni t ∈ R ntk. ∀v ∈ C : t ≤ p(v, C) in je C maksimalna taka množica. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 21 ' $ GeomBib – navadne sredice reda 10 C.Zelle H.A.El-Gindy M.E.Houle J.Czyzowicz M.L.Demaine I.Streinu S.P.Fekete P.Belleville V.Sacristan K.R.Romanik D.H.Rappaport F.Hurtado H.Meijer D.Bremner G.Liotta A.Lubiw T.C.Shermer W.J.Lenhart S.S.Skiena H.Everett B.Zhu D.M.Avis T.C.Biedl M.J.vanKreveld J.Urrutia S.M.Robbins D.M.Mount P.K.Bose E.M.Arkin J.S.B.Mitchell G.T.Wilfong O.Aichholzer S.H.Whitesides M.Yvinec O.Devillers J-M.Robert Te.Asano M.T.deBerg E.D.Demaine N.Katoh S.Lazard D.L.Souvaine I.G.Tollis T.Roos M.H.Overmars H.Alt J-R.Sack M.Teillaud G.Rote H.Imai J.O’Rourke M.T.Goodrich R.Seidel D.Halperin J-D.Boissonnat J.S.Vitter S.Suri J.Erickson N.M.Amato M.Sharir R.Pollack D.Z.Chen K.Mehlhorn B.Chazelle S-W.Cheng J.S.Snoeyink R.Wenger J.E.Hershberger O.Schwarzkopf R.Tamassia R.L.S.Drysdale P.K.Agarwal Q.Huang J.Pach F.P.Preparata E.Welzl L.J.Guibas K.Kedem S.J.Fortune J.Matousek J.C.Clements H.S.Sawhney D.G.Kirkpatrick C-K.Yap D.Eppstein B.Aronov J.Ashley S.A.Mitchell E.Trimble D.White D.P.Dobkin H.Edelsbrunner F.Aurenhammer D.T.Lee M.W.Bern D.Steele W.J.Bohnhoff A.Aggarwal L.P.Chew R.R.Lober S.R.Kosaraju G.D.Sjaardema T.K.Dey N.Amenta P.Yanker D.Petkovic T.J.Wilson L.Lopez-Buriek J.R.Hipp W.R.Oakes S.Parker P.Plassmann T.J.Tautges J.Harer J.Hass G.T.Toussaint G.Lerman E.Sedgwick D.Letscher A.Hicks D.Zorin T.L.Edwards C.K.Johnson M.Flickner M.Gorkani C.Grimm W.Niblack J.Hafner J.Weeks S.E.Benzley T.D.Blacker M.Whitely B.Dom Iz B. Jones-ove bibliografija računalniške geometrije Computational geometry database (2002), FTP, Geom.net. smo sestavili omrežje sodelovanj. Avtorja določata povezavo, če sta napisala skupno delo. Utež povezave je enaka številu skupnih del. n = 9072, m = 13567/22577 → n0 = 7343, m0 = 11898. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 22 ' $ pS -sredica omrežja GeomBib na ravni 46 E.Arkin J.Mitchell I.Tollis M.Bern A.Garg D.Eppstein L.Vismara G.diBattista R.Tamassia M.Goodrich G.Liotta D.Dobkin S.Suri J.O’Rourke J.Vitter J.Hershberger B.Chazelle R.Seidel B.Aronov L.Guibas H.Edelsbrunner M.Sharir F.Preparata J.Snoeyink P.Agarwal R.Pollack D.Halperin J.Pach P.Gupta M.Smid E.Welzl M.Overmars P.Bose M.vanKreveld J.Boissonnat O.Devillers J.Matousek C.Yap J.Majhi M.Yvinec M.deBerg O.Schwarzkopf R.Janardan J.Schwerdt G.Toussaint M.Teillaud J.Urrutia J.Czyzowicz C.Icking R.Klein s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 23 ' $ Dvovrstna omrežja Dvovrstno omrežje je omrežje N = (U, V, A, w), v katerem je množica točk sestavljena iz dveh ločenih podmnožic U in V ter imajo povezave iz množice A svoj začetek v množici U in svoj konec v množici V. w : A → R je utež povezav. Če utež ni podana, postavimo w(u, v) = 1 za vse povezave (u, v) ∈ A. Množica povezav A določa relacijo A ⊆ U × V. Dvovrstno omrežje lahko predstavimo tudi s pravokotno matriko A = [auv ]U ×V . w(u, v) (u, v) ∈ A auv = 0 sicer s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 24 ' $ Omrežje z They Rule s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 25 ' $ Omrežja iz podatkovnih tabel s s l y s y s s Ljubljana, 31. januar 2007 s Podatkovna tabela T je sestavljena iz množice zapisov T = {Tk : k ∈ K}, kjer je K množica ključev. Posamezni zapis ima obliko Tk = (k, q1 (k), q2 (k), . . . , qr (k)) kjer je qi (k) vrednost lastnosti qi za ključ k. & % * 6 V. Batagelj: Analiza velikih omrežij 26 ' $ . . . Omrežja iz podatkovnih tabel Naj ima lastnost q zalogo vrednosti Q. Če je ta končna (to lahko vselej dosežemo z razbitjem na razrede), lahko lastnosti q priredimo dvovrstno omrežje K × q = (K, Q, E, w) določeno z usmerjenimi povezavami (k, v) ∈ E ntk. q(k) = v, z utežmi w(k, v) = 1. txt2pajek (Jürgen Pfeffer) Dvovrstno omrežje qi × qj = (Qi , Qj , E, w) lahko definiramo tudi za lastnosti qi in qj , kjer je (u, v) ∈ E natanko takrat, ko ∃k ∈ K : (qi (k) = u ∧ qj (k) = v), in je w(u, v) = card {k ∈ K : (qi (k) = u ∧ qj (k) = v)}. Naj bo še [qi × qj ]T = qj × qi . Potem velja qi × qj = [K × qi ]T ∗ [K × qj ] = [qi × K] ∗ [K × qj ]. Par lastnosti qi in qj lahko združimo tudi glede na neko tretjo lastnost qs : dobimo dvovrstno omrežje [qi × qj ]/qs = [qi × qs ] ∗ [qs × qj ]. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 27 ' $ Primer: Evropski projekti na temo simulacij Za srečanje The Age of Simulation januarja 2006 na Ars Electronica v Linzu smo skupaj s sodelavci podjetja FAS z Dunaja analizirali podatke o evropskih projektih na temo simulacij. Podatke so zbrali sodelavci FASa s spletišča projektov in jih uredili v obliki velike tabele v Excelu. Posamezni zapis sestavljajo različni podatki o posamezni sodelujoči ustanovi na posameznem projektu. Tabelo smo najprej shranili v obliki CSV in nato s programom Text2Pajek iz nje ustvarili tri dvovrstna omrežja: • project.net – idents × projects = P • country.net – idents × countries = C • institution.net – idents × institutions = U l y s y s s % s s Ljubljana, 31. januar 2007 s Velikosti posameznih množic so naslednje: |idents| = 8869, |projects| = 933, |institutions| = 3438, |countries| = 60. & * 6 V. Batagelj: Analiza velikih omrežij 28 ' $ Evropski projekti – množenje omrežij Ker imajo vsa tri omrežja skupno množico K =idents, lahko na prej opisani način iz njih z množenjem pridobimo različna omrežja: • ProjInst.net – projects × institutions W = PT ? U • Countries.net – countries × countries S = CT ? C • Institutions.net – institutions × institutions Q = WT ? W Za določitev pomembnih delov omrežja ProjInst.net smo najprej določili omrežje 4-obročnih uteži in na tem omrežju določili povezavne otoke: Dobili smo 101 otok, 18 med njimi ima velikost vsaj 5 (točk). Najpomembnejša otoka sestavljajo letalske ustanove in avtomobilske ustanove. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 29 ' $ Analiza omrežja ProjInst.net ARMINES PSI FUR PRODUKTE UND SYS.E DER INFORMATIONSTECH. BICC GENERAL CABLE TQT SRL ESI SOFTWARE SA CHALMERS TEKNISKA HOEGSKOLA 28283 COLOPLAST A/S MTU AERO ENGINES 25525 FRAUENHOFER INST. FUER PRODUKTIONSTECH. UND AUTOMATISIERUNG EADS DE LMS UMWELTSYS.E, DIPL. ING. DR. HERBERT BACK BAE SYSTEMS 29817 DASSAULT AVIATION C. R. FIAT S.C.P.A. NL ORG. FOR APPLIED SCIENTIFIC RESEARCH - TNO BARTENBACH 501084 POLYMAGE SARL G4RD-CT-2002-00836 G4MA-CT-2002-00022 STICHTING NATIONAAL LUCHT OFFICE NAT. DETUDES ET DE REC. AEROSPATIALES BRPR987001 G4RD-CT-2000-00178 502896 G4RD-CT-2001-00403 G4RD-CT-2002-00795 MSO CONCEPT INNOVATION + SOFTWARE 7210-PR/163 ROSENHEIMER GLASTECH. ENK6-CT-2002-30023 RUDOLF BRAUNS AND CO. KG SHERPA ENGINEERING SARL 502889 CENTRE DE RECH. METALLURG. 506503 MECALOG SARL 506257 INST. NAT. DE RECHERCHE SUR LES TRANSPORTS ET LEUR SCURIT INST. SUPERIOR TECNICO 502842 AIRBUS FRANCE SAS ALENIA AERONAUTICA SPA TRUMPF-BLUSEN-KLEIDER WALTER GIRNER UND CO. KG BARCO NV 7215-PP/031 EA TECH. LTD SNECMA MOTEURS SA AIRBUS DEUTSCHLAND 502917 502909 NAT. TEC. UNIV. OF ATHENS INST. FUER TEXTIL UND VERFAHRENSTECH. DENKENDORF KBC MANUFAKTUR, KOECHLIN, BAUMGARTNER UND CIE. AG VOLKSWAGEN AG EUROCOPTER S. AIRBUS UK LIMITED IST-2000-29207 TESSITURA LUIGI SANTI SPA DAIMLER CHRYSLER AG BUURSKOV DE ZENTRUM FUER LUFT UND RAUMFAHRT E.V. G4RD-CT-2000-00395 7210-PR/233 INST. DE RECHERCHES DE LA SIDERURGIE FR T3.2/99 CATALYSE SARL VOEST-ALPINE STAHL EVG3-CT-2002-80012 THYSSENKRUPP STAHL A.G. DISENO DE SISTEMAS EN SILICIO CENTRE FOR EUROP. ECONOMIC SMT4982223 ILEVO AB 7210-PR/095 FONDAZIONE ENI - ENRICO MATTEI IST-2001-35358 CSTB JERNKONTORET UNIV. DER BUNDESWEHR MUENCHEN CHIPIDEA - MICROELECTRONICA, S.A. BUILDING RESEARCH LANDIS & GYR - EUROPE AG OESTERREICHISCHER BERGRETTUNGSDIENST IFEN GES. FUER SATELLITENNAVIGATION JOE3980089 WYKES ENGINEERING COMPANY IST-2000-30158 ENEL.IT UNIV. PANTHEON-ASSAS - PARIS II SSAB TUNNPL¯T 7215-PP/034 LH AGRO EAST S.R.O. TECHNOFARMING S.R.L. T3.5/99 LESPROJEKT SLUZBY S.R.O. BAYER. ROTES KREUZ ENERGY RESEARCH CENTRE NL RESEARCH INST. OF THE FINNISH ECONOMY QLK6-CT-2002-02292 HELP SERVICE REMOTE SENSING CINAR LTD. INST. CARTOGRAFIC DE CATALUNYA HPSE-CT-2002-00108 THE AARHUS SCHOOL OF BUSINESS MEFOS, FOUNDATION FOR METALLURGICAL RESEARCH HPSE-CT-2002-00143 IST-2000-28177 BRITISH STEEL UNIV. OF MACEDONIA 7210-PR/142 JOR3980200 FRAUENHOFER INST. FUER AGRO-SAT CONSULTING MATERIALFLUSS UND LOGISTIK DATASYS S.R.O. UNIV. OF ABERDEEN ENK5-CT-2000-00335 ORAD HI TEC SYS. POLAND CENTRE DE ROBOTIQUE FRIMEKO INT. AB CRE GROUP LTD. MJM GROUP, A.S. INOX PNEUMATIC AS BBL DFA DE FERNSEHNACHRICHTEN AGENTUR TPS TERMISKA PROCESSER AB PROLEXIA KOMMANDITGES. HAMBURG 1 A.S.M. S.A. ZAMISEL D.O.O IST-1999-56418 FERNSEHEN BETEILIGUNGS & CO INGENIORHOJSKOLEN HELSINGOR TEKNIKUM DPME ROBOTICS AB GATE5 AG 511758 INDUSTRIAS ROYO LKSOFTWARE IST-2000-30082 WISDOM TELE VISION SPORTART YAHOO! DEOSAUHING EETRIUKSUS BRST985352 UAB LKSOFT BALTIC ALBERTSEN & HOLM AS ASM - DIMATEC INGENIERIA FFT ESPANA TECH. DE AUTOMOCION, EDAG ENGINEERING + DESIGN SVETS & TILLBEHOR AB SUPERELECTRIC DI CARLO PAGLIALUNGA & C. SAS IST-1999-57451 OK GAMES DI ALESSANDRO CARTA ENERGITEKNIK HEATEX AB UNIV. DE ZARAGOZA BROD THOMASSON GUNNESTORPS SMIDE & MEKANISKA AB Pajek s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 30 ' $ Analiza omrežja Countries.net Kazakhstan Afghanistan Japan Azerbaijan Georgia Morocco Liechtenstein Ecuador India Uzbekistan Iceland Belarus Armenia Tunisia Jordan Canada Lebanon France Algeria United Kingdom Italia The Netherlands Russian F. Finland Moldavia China Turkey Greece Germany Portugal Spain Switzerland Turkmenistan Cyprus Sweden Denmark Thailand Israel Austria Estonia Slovakia USA Belgium Poland Croatia Luxembourg Latvia Malta Norway Slovenia Ireland Bulgaria Czech R. Lithuania Ukraine Serbia-Montenegro Macedonia Hungary Romania Albania Omrežje Countries.net ima le 60 točk, je pa gosto. Uteži povezav predstavljajo število projektov, pri katerih hkrati sodelujeta krajiščni državi. Za preglednejšo sliko moramo povezave urediti glede na uteži: Še preglednejši vpogled v sodelovanje med državami dobimo z matričnim prikazom. Ustrezno urejenost dobimo iz hierarhične razvrstitve dobljene z Wardovim postopkom uporabljenim nad različnostjo d5 . Uteži so prekodirane glede na prage (2,10,50). Pajek Urejenost lahko še izboljšamo s preurejanjem poddreves v hierarhiji. Kakor vidimo na sliki, dobimo značilno (večslojno) zgradbo središče – obrobje. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 31 ' $ Analiza omrežja Countries.net Pajek - shadow [0.00,4.00] Ecuador Thailand Armenia Turkmenist Uzbekistan Moldavia Japan Kazakhstan Azerbaijan India Macedonia Albania Liechtenst Serbia-Mon Iceland Canada Estonia China Belarus Georgia Tunisia Lebanon Jordan Algeria Malta Morocco Afghanista Luxembourg Croatia Latvia Lithuania Cyprus Turkey Bulgaria Ukraine Slovenia Romania Slovakia USA Portugal Denmark Poland Finland Switzerlan Austria Czech R. Ireland Norway Hungary Israel Russian F. Sweden Greece Belgium Spain The Nether France United Kin Germany Italia Ecuador Thailand Armenia Turkmenist Uzbekistan Moldavia Japan Kazakhstan Azerbaijan India Macedonia Albania Liechtenst Serbia-Mon Iceland Canada Estonia China Belarus Georgia Afghanista Morocco Malta Tunisia Lebanon Jordan Algeria Croatia Latvia Lithuania Luxembourg Cyprus Turkey Bulgaria Ukraine Slovenia Romania Slovakia USA Russian F. Israel Hungary Ireland Czech R. Norway Poland Finland Portugal Denmark Switzerlan Austria Sweden Greece Belgium Spain The Nether Italia France United Kin Germany Pajek - Ward [0.00,4785.14] Ecuador Thailand Armenia Turkmenist Uzbekistan Moldavia Japan Kazakhstan Azerbaijan India Macedonia Albania Liechtenst Serbia-Mon Iceland Canada Estonia China Belarus Georgia Afghanista Morocco Malta Tunisia Lebanon Jordan Algeria Croatia Latvia Lithuania Luxembourg Cyprus Turkey Bulgaria Ukraine Slovenia Romania Slovakia USA Russian F. Israel Hungary Ireland Czech R. Norway Poland Finland Portugal Denmark Switzerlan Austria Sweden Greece Belgium Spain The Nether Italia France United Kin Germany s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 32 ' $ Analiza omrežja Institutions.net FEGSNCODE INT. HERMSDORFER INST. FUER TECH. HAHN-SCHICKARD-GES. BEHR & CO. SULZER TECH. AG, SULZER AWE PLC INNOTEC GKSSMARKETS - FORSCHUNGSZENTRUM GEESTHACHT NLSE AND VERENIGDE SCHEEPSBOUW BUREAUS B.V. PD & E AUTOMOTIVE B.V. STRUCTURAL INTEGRITY ASSESSMENTS LTD MERITOR HEAVY VEHICLE BRAKING SYS. - UK LTD FEMSYS LTD CORK INST. OF TECHNOLOGY TECHNISCH ADVIESBUREAU N.V. TECHSOFT ENGINEERING S.R.O. STAVANGER UNIV. COLLEGE ABS CONSULTING MARITIME HYDRAULICS AS ALTAIR ENGINEERING NUMERICAL ANALYSIS AND DESIGN NOKIA & CO KG FOKKER SPACE BV MOBILE PHONES LTD ANAKON MSC SOFTWARE DR THELLEN LULEAA MANNESMANN UNIV. OF TECH.VDO AG TEKNOLOGI WILDE NORUT AND PARTNERS LTDA.S. EUROP. SPACE AGENCY MECAS S.R.O. OXFORD BROOKES UNIV. WS ATKINS CONSULTANTS LTD. INTES - INGENIEURGES. FUER TECH. SOFTWARE SAFE TECH. NAFEMS LTD.RAZAK RESEARCH CENTRE LTD. TUN ABDUL DSAMTECH C WHITE SA & PARTNERS LTD ACCESS E.V. Za določitev najpomembnejših ustanov smo najprej določili sredice vrste pS in za tako določen vektor določili točkovne otoke. V bistvu smo dobili en sam velik otok prikazan na sliki. Ta je sestavljen iz dveh večjih skupin povezanih čez posredniške ustanove (med njimi je tudi Inštitut Jožef Stefan). Posebej odstopajoča točka je Centre national de la recherche scientifique (CNRS). Še bolje je medsebojna povezanost med ustanovami razvidna iz matričnega prikaza. UNIV. OF SPLIT UNIV. OF DURHAM DUNLOP STANDARD AEROSPACEFUER GROUP FORSCHUNGSGES. TECH. MECHANIK - FEMCOS INGENIEURBUERO MBH ST MECANICA APLICADA S.L. UNIV. DEGLI STUDI DI NAPOLI SKF R & D COMPANY B.V. UND PARTNER AVIO S.P.A. MERKLE ROYAL INST.FRANCE OF TECH. AIRBUS SAS FINITE NEW ELEMENT ANALYSIS LTD. LTD TECH. ENGINEERING CENTRE NAT. DE LA RECHERCHE SCIENTIFIQUE UNIV. OF GREENWICH QUEENS UNIV. BELFAST DEP. OF ENVIRONMENT, TRANSPORT AND THE REGIONS FRAUENHOFER INST. FUER BIOMEDICAL ENGINEERING UNIV. OF LEEDS A. UNIV. THESSALONIKI INBIS TECH. LTD UNIV. DEGLI STUDI DI TRIESTE LEUVEN MEASUREMENTS AND SYS. INT. NV INGENIEURBUERO FUER TRAGWERKSPLANUNG CENTRE INT. LENGINYERIA PRINCIPIA INGENIEROS CONSULTORES CAESAR SYSTEMS LTD IFP SICOMP AB TRL QINETIQ DAMT LTD ATOS ORIGIN ENG. EASI ENGINEERING NAT. SOFISTK NUCLEARAG CORP. LTD. RANDOM LOADING DESIGN EATEC LTD TECNOLOGIAS CAE AVANZADAS S.L. UNIV. OF GLASGOW ROCKFIELD SOFTWAREDESIGN LTD. VOLVO AERO CORP. AB INTEGRATED & ANALYSIS CONSULTANTS LTD FUNDACION INASMET JOZEF STEFAN INST. C. R. FIAT S.C.P.A. DE MONTFORT UNIV. TEC. UNIV. V KOSICIACH UNIV. OF MANCHESTER CRANFIELD UNIVERSITY UNIV. CATHOLIQUE DE LOUVAIN UNIV.E DO MINHO KATHOLIEKE HOGESCHOOL SINT-LIEVEN INST. NAT. POLITEC. DE TOULOUSE CONSULTANTS LIMITED UNIV.CREA HANNOVER NAT. UNIV. OF IRELAND, MAYNOOTH CZECH TECH. UNIV. OF PRAGUE UNIV. STRATHCLYDE BAEOF SYSTEMS CHALMERS TEKNISKA HOEGSKOLA ENTE PER LE NUOVE TECNOLOGIE UNIV. TWENTE GERMAN AEROSPACE CENTRE NL ORG. FOR APPLIED SCIENTIFIC RESEARCH ENGIN SOFT TRADING- TNO SRL ERASMUS UNIV. ROTTERDAM UNIV. OF PAISLEY GIFFORD AND PARTNERS LTD. OTTO VON GUERICKE MAGDEBURG UNIV. CONSEJO SUP. DE INVEST.CIENTIFICAS UNIV. OF NOTTINGHAM UNIV. OF NEWCASTLE UPON TYNE UNIV. DORTMUND FUNDACION LABEIN UNIV. DEGLI STUDI DI PADOVA C. SVILUPPO MATERIALI POLITECNICO DI TORINO CAD - FEM UNIV. DE GRANADA FRIEDRICH-SCHILLER-UNIV. UNIV. PAUL SABATIER DE TOULOUSE III JENA UNIV. WIEN KINGS COLLEGE LONDON BULGARIAN ACAD. OF SCIENCES DATAMED HEALTHCARE INF. SYS. KATHOLIEKE UNIV. LEUVEN SENTIENT MACHINE RESEARCH B.V. NAT. TEC. UNIV. OF ATHENS POLISH ACAD. OF SCIENCES TSS -OF TRANSPORT SYS. S.L. STICHTING UNIV. BOURNEMOUTH NYENRODE UNIV.SIMULATION UNIV. BRISTOL ELITE EUROP. LAB FOR INTELLIGENT SOFTECO SISMATTECH. INST. DALLE MOLLE DI STUDI SULLIA INST. OF INFORMATION TECH.S UNIV. POLITEC. DE CATALUNYA UNIV. DE VALLADOLID BELIMO AUTOMATION RISOE NAT. LAB UNIV. DE GIRONA FACULTY OF ELECTRICAL ENGINEERING INST. SUPERIOR TECNICO TEKNILLINEN RAUTARUUKKI OY KORKEAKOULU TEKNISKE UNIV. THE UNIV.ENERGY COURT RESEARCH OF THE UNIV. OFDANMARKS ABERDEEN CHRYSLER AG CENTRE NL TECH. UNIV.DAIMLER DELFT ASS. RECH. SCIENTIFIQUE HELSINKI UNIV. OF TECH. COVENTRY UNIVERSITY DAEDALUS INFORMATICS UNIV. OF THE AEGEANLTD INST. NAT. DE RECHERCHE SUR LES TRANSPORTS ET LEUR SCURIT LOUGHBOROUGH UNIV. OF TECH. UNIV. POLITEC. DE MADRID BRITISH TELEC. UNIV. GENT STICHTING NEURALE NETWERKEN UNIVERZA V MARIBORU UNIV. OF CYPRUS UNIV. OF CHEMICAL TECH. AND METALLURGY UNIV. OF SHEFFIELD UNIV. DE LA LAGUNA FL-SOFT V/JENS JOERGEN OESTERGAARD UNIV. OF CRETE SOFIISKI UNIV. SVETI KLIMENT OHRIDSKI UNIV.E UNIV. AABO AKADEMI U DE COIMBRA ALLOGG AB OF ULSTER UNIVERSITY LONDON UNIV. PARIS VICITY PIERRE ET MARIE CURIE MOMATEC UNIV. OF JYVASKYLA UNIV. DEGLI STUDI DI GENOVA SIEMENS BUILDING TECH.S AG AS. CONOCIMIENTO UNIV. VAN AMSTERDAM TRENTCLAUSTHAL UNIV. TECH. UNIV. UNIV. OF APPLIEDNOTTINGHAM SCIENCES ZITTAU/GOERLITZ POLITECNICO DI BARI UNIV. OF WALES, ABERYSTWYTH AUSTRIAN INST. AIOF ZAGREB UNITARY ENTERPRISE ALL-RUSSIAN SCIENTIFIC CENTER UNIV.FED. PARIS-DAUPHINE UNIV. INST. FUER NATURSTOFF-FORSCHUNG E.V. GOETHEUNIV. UNIV. FRANKFURT AM MAIN UNIV.SKLINIKUM AACHEN OF OULU MIT-MANAGEMENT INTELLIGENTER START ENGINEERING JSCOTECH.N Pajek s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 33 ' $ Analiza omrežja Institutions.net s l y % s y s s Ljubljana, 31. januar 2007 s & s ALLOGG AB AS. CONOCI ASS. RECH. AUSTRIAN I BELIMO AUT COVENTRY U DAEDALUS I DATAMED H FACULTY OF FED. UNITA FL-SOFT V/ INST. OF I GOETHE UNI MIT-MANAGE MOMATEC NAT. UNIV. NOTTINGHAM POLITECNIC SENTIENT M SIEMENS BU SOFIISKI U START ENGI STICHTING STICHTING THE UNIV. UNIV. DE L UNIV.SKLIN UNIV. DE G UNIV. PARI UNIV. OF A UNIV. OF C UNIV. OF C UNIV. OF W UNIV. OF Z INST. DALL RAUTARUUKK UNIV.E DE UNIV. OF U SOFTECO SI UNIV. GENT TSS - TRAN UNIV. DE G UNIV. DE V UNIVERZA V UNIV. PAUL TECH. UNIV UNIV. WIEN UNIV. VAN ENERGY RES TEKNILLINE DE MONTFOR CITY UNIVE UNIV. OF J AABO AKADE RISOE NAT. KINGS COLL UNIV. DORT FRIEDRICHUNIV. OF C INST. NAT. BULGARIAN ENTE PER L LOUGHBOROU HELSINKI U CRANFIELD UNIV. CATH OTTO VON G UNIV. DEGL UNIV. OF O UNIV. OF T ELITE EURO ERASMUS UN INST. FUER UNIV. PARI BRITISH TE BOURNEMOUT UNIV. OF B UNIV. OF S DANMARKS T DAIMLER CH INST. NAT. INST. SUPE POLITECNIC POLISH ACA UNIV. POLI NAT. TEC. CONSEJO SU KATHOLIEKE UNIV. TWEN TECH. UNIV UNIV. POLI CENTRE NAT TEC. UNIV. UNIV. OF P FUNDACION JOZEF STEF CZECH TECH UNIV. OF N UNIV. OF S BAE SYSTEM UNIV. OF M ABS CONSUL ALTAIR ENG ANAKON ATOS ORIGI AWE PLC BEHR & CO CAESAR SYS CORK INST. CREA CONSU D C WHITE DAMT LTD DEP. OF E DR THELLEN DUNLOP STA EASI ENGIN EATEC LTD FEMSYS LTD FOKKER SPA FORSCHUNGS GIFFORD AN HAHN-SCHIC HERMSDORFE INBIS TECH INGENIEURB INTEGRATED KATHOLIEKE MANNESMANN MARITIME H MECAS S.R. MERITOR HE MERKLE UND NAFEMS LTD NCODE INT. NLSE VEREN NEW TECH. NOKIA MOBI NORUT TEKN NUMERICAL OXFORD BRO PD & E AUT RANDOM LOA SAFE TECH. SKF R & D SOFISTK AG ST MECANIC STAVANGER STRUCTURAL SULZER MAR TECHNISCH TECHSOFT E TECNOLOGIA TUN ABDUL UNIV.E DO UNIV. OF S WILDE AND FRAUENHOFE GKSS - FOR NAT. NUCLE UNIV. OF D ENGIN SOFT FEGS IFP SICOMP INTES - IN UNIV. DEGL PRINCIPIA FINITE ELE ROCKFIELD WS ATKINS ROYAL INST UNIV. HANN UNIV. DEGL UNIV. OF G UNIV. OF N CAD - FEM C. SVILUPP TRL LEUVEN MEA A. UNIV. T GERMAN AER CENTRE INT UNIV. DEGL QINETIQ UNIV. OF L FUNDACION ACCESS E.V EUROP. SPA UNIV. OF G SAMTECH SA VOLVO AERO AVIO S.P.A MSC SOFTWA LULEAA UNI QUEENS UNI AIRBUS FRA C. R. FIAT NL ORG. FO CHALMERS T Pajek - shadow [0.00,6.00] ALLOGG AB AS. CONOCI ASS. RECH. AUSTRIAN I BELIMO AUT COVENTRY U DAEDALUS I DATAMED H FACULTY OF FED. UNITA FL-SOFT V/ INST. OF I GOETHE UNI MIT-MANAGE MOMATEC NAT. UNIV. NOTTINGHAM POLITECNIC SENTIENT M SIEMENS BU SOFIISKI U START ENGI STICHTING STICHTING THE UNIV. UNIV. DE L UNIV.SKLIN UNIV. DE G UNIV. PARI UNIV. OF A UNIV. OF C UNIV. OF C UNIV. OF W UNIV. OF Z INST. DALL RAUTARUUKK UNIV.E DE UNIV. OF U SOFTECO SI UNIV. GENT TSS - TRAN UNIV. DE G UNIV. DE V UNIVERZA V UNIV. PAUL TECH. UNIV UNIV. WIEN UNIV. VAN ENERGY RES TEKNILLINE DE MONTFOR CITY UNIVE UNIV. OF J AABO AKADE RISOE NAT. KINGS COLL UNIV. DORT FRIEDRICHUNIV. OF C INST. NAT. BULGARIAN ENTE PER L LOUGHBOROU HELSINKI U CRANFIELD UNIV. CATH OTTO VON G UNIV. DEGL UNIV. OF O UNIV. OF T ELITE EURO ERASMUS UN INST. FUER UNIV. PARI BRITISH TE BOURNEMOUT UNIV. OF B UNIV. OF S DANMARKS T DAIMLER CH INST. NAT. INST. SUPE POLITECNIC POLISH ACA UNIV. POLI NAT. TEC. CONSEJO SU KATHOLIEKE UNIV. TWEN TECH. UNIV UNIV. POLI CENTRE NAT TEC. UNIV. UNIV. OF P FUNDACION JOZEF STEF CZECH TECH UNIV. OF N UNIV. OF S BAE SYSTEM UNIV. OF M C. R. FIAT NL ORG. FO CHALMERS T SAMTECH SA VOLVO AERO AVIO S.P.A MSC SOFTWA LULEAA UNI QUEENS UNI AIRBUS FRA CAD - FEM C. SVILUPP TRL LEUVEN MEA A. UNIV. T GERMAN AER CENTRE INT UNIV. DEGL QINETIQ UNIV. OF L FUNDACION ACCESS E.V EUROP. SPA UNIV. OF G UNIV. DEGL UNIV. OF G UNIV. OF N FINITE ELE ROCKFIELD WS ATKINS ROYAL INST UNIV. HANN FRAUENHOFE GKSS - FOR NAT. NUCLE UNIV. OF D ENGIN SOFT FEGS IFP SICOMP INTES - IN UNIV. DEGL PRINCIPIA ABS CONSUL ALTAIR ENG ANAKON ATOS ORIGI AWE PLC BEHR & CO CAESAR SYS CORK INST. CREA CONSU D C WHITE DAMT LTD DEP. OF E DR THELLEN DUNLOP STA EASI ENGIN EATEC LTD FEMSYS LTD FOKKER SPA FORSCHUNGS GIFFORD AN HAHN-SCHIC HERMSDORFE INBIS TECH INGENIEURB INTEGRATED KATHOLIEKE MANNESMANN MARITIME H MECAS S.R. MERITOR HE MERKLE UND NAFEMS LTD NCODE INT. NLSE VEREN NEW TECH. NOKIA MOBI NORUT TEKN NUMERICAL OXFORD BRO PD & E AUT RANDOM LOA SAFE TECH. SKF R & D SOFISTK AG ST MECANIC STAVANGER STRUCTURAL SULZER MAR TECHNISCH TECHSOFT E TECNOLOGIA TUN ABDUL UNIV.E DO UNIV. OF S WILDE AND ALLOGG AB AS. CONOCI ASS. RECH. AUSTRIAN I BELIMO AUT COVENTRY U DAEDALUS I DATAMED H FACULTY OF FED. UNITA FL-SOFT V/ INST. OF I GOETHE UNI MIT-MANAGE MOMATEC NAT. UNIV. NOTTINGHAM POLITECNIC SENTIENT M SIEMENS BU SOFIISKI U START ENGI STICHTING STICHTING THE UNIV. UNIV. DE L UNIV.SKLIN UNIV. DE G UNIV. PARI UNIV. OF A UNIV. OF C UNIV. OF C UNIV. OF W UNIV. OF Z INST. DALL RAUTARUUKK UNIV.E DE UNIV. OF U SOFTECO SI UNIV. GENT TSS - TRAN UNIV. DE G UNIV. DE V UNIVERZA V UNIV. PAUL TECH. UNIV UNIV. WIEN UNIV. VAN ENERGY RES TEKNILLINE DE MONTFOR CITY UNIVE UNIV. OF J AABO AKADE RISOE NAT. KINGS COLL UNIV. DORT FRIEDRICHUNIV. OF C INST. NAT. BULGARIAN ENTE PER L LOUGHBOROU HELSINKI U CRANFIELD UNIV. CATH OTTO VON G UNIV. DEGL UNIV. OF O UNIV. OF T ELITE EURO ERASMUS UN INST. FUER UNIV. PARI BRITISH TE BOURNEMOUT UNIV. OF B UNIV. OF S DANMARKS T DAIMLER CH INST. NAT. INST. SUPE POLITECNIC POLISH ACA UNIV. POLI NAT. TEC. CONSEJO SU KATHOLIEKE UNIV. TWEN TECH. UNIV UNIV. POLI CENTRE NAT TEC. UNIV. UNIV. OF P FUNDACION JOZEF STEF CZECH TECH UNIV. OF N UNIV. OF S BAE SYSTEM UNIV. OF M C. R. FIAT NL ORG. FO CHALMERS T SAMTECH SA VOLVO AERO AVIO S.P.A MSC SOFTWA LULEAA UNI QUEENS UNI AIRBUS FRA CAD - FEM C. SVILUPP TRL LEUVEN MEA A. UNIV. T GERMAN AER CENTRE INT UNIV. DEGL QINETIQ UNIV. OF L FUNDACION ACCESS E.V EUROP. SPA UNIV. OF G UNIV. DEGL UNIV. OF G UNIV. OF N FINITE ELE ROCKFIELD WS ATKINS ROYAL INST UNIV. HANN FRAUENHOFE GKSS - FOR NAT. NUCLE UNIV. OF D ENGIN SOFT FEGS IFP SICOMP INTES - IN UNIV. DEGL PRINCIPIA ABS CONSUL ALTAIR ENG ANAKON ATOS ORIGI AWE PLC BEHR & CO CAESAR SYS CORK INST. CREA CONSU D C WHITE DAMT LTD DEP. OF E DR THELLEN DUNLOP STA EASI ENGIN EATEC LTD FEMSYS LTD FOKKER SPA FORSCHUNGS GIFFORD AN HAHN-SCHIC HERMSDORFE INBIS TECH INGENIEURB INTEGRATED KATHOLIEKE MANNESMANN MARITIME H MECAS S.R. MERITOR HE MERKLE UND NAFEMS LTD NCODE INT. NLSE VEREN NEW TECH. NOKIA MOBI NORUT TEKN NUMERICAL OXFORD BRO PD & E AUT RANDOM LOA SAFE TECH. SKF R & D SOFISTK AG ST MECANIC STAVANGER STRUCTURAL SULZER MAR TECHNISCH TECHSOFT E TECNOLOGIA TUN ABDUL UNIV.E DO UNIV. OF S WILDE AND Pajek - Ward [0.00,1376.93] * 6 V. Batagelj: Analiza velikih omrežij 34 ' $ Pretvorba dvovrstnih omrežij na enovrstna Z uporabo množenja omrežij lahko dvovrstno omrežje N = (I, J , E, w) pretvorimo v dve enovrstni omrežji N1 = N ∗N T in/ali N2 = N T ∗N . Naj bo A matrika omrežja N in B matrika omrežja N1 . Tedaj velja B = AAT , P P T buv = z∈J auz · azv = z∈J auz · avz . Očitno velja buv = bvu – matrika B je simetrična. Tudi omrežju N2 pripadajoča matrika C = AT A je simetrična. Enovrstni omrežji N1 in N2 lahko analiziramo z običajnimi postopki analize enovrstnih omrežij. Osnovna težava je, da sta lahko eno ali celo obe preveliki. s s l y s y s s Ljubljana, 31. januar 2007 s V enovrstnih omrežjih dobljenih iz velikih dvovrstnih omrežij so pogosto razlike v utežeh zelo velike. Zato ni mogoče primerjati točk glede na te vrednosti. Pred primerjavo jih moramo normalizirati – poskrbeti za primerljivost uteži. & % * 6 V. Batagelj: Analiza velikih omrežij 35 ' $ . . . Normalizacije Obstaja več načinov normalizacije. Uporabimo jih lahko tudi na drugih enovrstnih uteženih omrežjih. Geouv = wuv √ wuu wvv Inputuv = wuv wvv Minuv = MinDiruv = wuv min(wuu , wvv ) wuv wuu ≤ wvv wuu 0 sicer GeoDeguv = wuv p degu degv Outputuv = wuv wuu Maxuv = MaxDiruv = wuv max(wuu , wvv ) wuv wuu ≤ wvv wvv 0 sicer Normalizirano omrežje analiziramo z uporabo povezavnih prerezov ali otokov. Reuters Terror News: GeoDeg, MaxDir, MinDir. & s s s l y s y s s Ljubljana, 31. januar 2007 % * 6 V. Batagelj: Analiza velikih omrežij 36 ' $ MinDir na omrežju Slovenski časopisi 2000 Čez 100000 oseb je bilo v letih 1999 in 2000 vprašanih, katere časopise berejo. Navedli so 124 različnih časopisov. (vir Cati) SVG s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 37 ' $ Internet Movie Database http://www.imdb.com/ Omrežje IMDB je bilo pripravljeno za 12th Annual Graph Drawing Contest, 2005. Je dvovrstno in ima 1324748 = 428440 + 896308 točk ter 3792390 povezav. l y s y s s % s s Ljubljana, 31. januar 2007 s & * 6 V. Batagelj: Analiza velikih omrežij 38 ' $ Dvovrstne sredice Podmnožica točk C ⊆ V je (p, q)-sredica dvovrstnega omrežja N = (V1 , V2 ; L), V = V1 ∪ V2 natanko takrat, ko a. v s C porojenem podomrežju K = (C1 , C2 ; L(C)), C1 = C ∩ V1 , C2 = C ∩V2 velja ∀v ∈ C1 : degK (v) ≥ p in ∀v ∈ C2 : degK (v) ≥ q; b. C je maksimalna podmnožica V, ki zadošča pogoju a. Za določitev (p, q)-sredice lahko uporabimo postopek podoben postopku za določanje običajnih sredic. Težava je v tem, da je lahko veliko dvovrstnih sredic. Kako izbrati zanimive? Pomagamo si lahko s tabelo značilnosti sredic. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6 V. Batagelj: Analiza velikih omrežij 39 ' $ (247,2)-sredica in (27,22)-sredica Survivor Series Royal Rumble Zhukov, Boris (I) Wright, Charles (II) Wilson, Al (III) Wight, Paul Wickens, Brian White, Leon Warrior Warrington, Chaz Ware, David (II) Waltman, Sean Walker, P.J. von Erich, Kerry Vaziri, Kazrow Van Dam, Rob Valentine, Greg Vailahi, Sione Tunney, Jack Traylor, Raymond Tenta, John Taylor, Terry (IV) Taylor, Scott (IX) Tanaka, Pat Tajiri, Yoshihiro Szopinski, Terry Storm, Lance Steiner, Scott Steiner, Rick (I) Solis, Mercid Snow, Al Smith, Davey Boy Slaughter, Sgt. Simmons, Ron (I) Shinzaki, Kensuke Shamrock, Ken Senerca, Pete Scaggs, Charles Savage, Randy Saturn, Perry Sags, Jerry Ruth, Glen Runnels, Dustin Rude, Rick Rougeau, Raymond Rougeau Jr., Jacques Rotunda, Mike Ross, Jim (III) Rock, The Roberts, Jake (II) Rivera, Juan (II) Rhodes, Dusty (I) Reso, Jason Reiher, Jim Reed, Bruce (II) Race, Harley Prichard, Tom Powers, Jim (IV) Poffo, Lanny Plotcheck, Michael Piper, Roddy Pfohl, Lawrence Pettengill, Todd Peruzovic, Josip Palumbo, Chuck (I) Page, Dallas Ottman, Fred Orton, Randy Okerlund, Gene Nowinski, Chris Norris, Tony (I) Nord, John Neidhart, Jim Nash, Kevin (I) Muraco, Don Morris, Jim (VII) Morley, Sean Morgan, Matt (III) Mooney, Sean (I) Moody, William (I) Miller, Butch Mero, Marc McMahon, Vince McMahon, Shane Matthews, Darren (II) Martin, Andrew (II) Martel, Rick Marella, Robert Marella, Joseph A. Manna, Michael Lothario, Jose Long, Teddy LoMonaco, Mark Lockwood, Michael Levy, Scott (III) Levesque, Paul Michael Lesnar, Brock Leslie, Ed Leinhardt, Rodney Layfield, John Lawler, Jerry Lawler, Brian (II) Laurinaitis, Joe Laughlin, Tom (IV) Lauer, David (II) Knobs, Brian Knight, Dennis (II) Killings, Ron Kelly, Kevin (VIII) Keirn, Steve Jones, Michael (XVI) Johnson, Ken (X) Jericho, Chris Jarrett, Jeff (I) Jannetty, Marty James, Brian (II) Jacobs, Glen Jackson, Tiger Hyson, Matt Hughes, Devon Huffman, Booker Howard, Robert William Howard, Jamie Houston, Sam Horowitz, Barry Horn, Bobby Hollie, Dan Hogan, Hulk Hickenbottom, Michael Heyman, Paul Hernandez, Ray Henry, Mark (I) Hennig, Curt Helms, Shane Hegstrand, Michael Heenan, Bobby Hebner, Earl Hebner, Dave Heath, David (I) Hayes, Lord Alfred Hart, Stu Hart, Owen Hart, Jimmy (I) Hart, Bret Harris, Ron (IV) Harris, Don (VII) Harris, Brian (IX) Hardy, Matt Hardy, Jeff (I) Hall, Scott (I) Guttierrez, Oscar Gunn, Billy (II) Guerrero, Eddie Guerrero Jr., Chavo Gray, George (VI) Goldberg, Bill (I) Gill, Duane Gasparino, Peter Garea, Tony Funaki, Sho Fujiwara, Harry Frazier Jr., Nelson Foley, Mick Flair, Ric Finkel, Howard Fifita, Uliuli Fatu, Eddie Farris, Roy Eudy, Sid Enos, Mike (I) Eaton, Mark (II) Eadie, Bill Duggan, Jim (II) Douglas, Shane DiBiase, Ted DeMott, William Davis, Danny (III) Darsow, Barry Cornette, James E. 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P Scott: Social Network Analysis: A Handbook. SAGE Publications, 2000. Amazon. • A. Degenne, M. Forsé: Introducing Social Networks. SAGE Publications, 1999. Amazon. • S. Wasserman, K. Faust: Social Network Analysis: Methods and Applications. CUP, 1994. Amazon. • W. de Nooy, A. Mrvar, V. Batagelj: Exploratory Social Network Analysis with Pajek, CUP, 2005. Amazon. ESNA page. • P. Doreian, V. Batagelj, A. Ferligoj: Generalized Blockmodeling, CUP, 2004. Amazon. • E. Lazega: The Collegial Phenomenon: The Social Mechanisms of Cooperation among Peers in a Corporate Law Partnership. OUP, 2001. Amazon. • P.J. Carrington, J. Scott, S. Wasserman (Eds.): Models and Methods in Social Network Analysis. CUP, 2005. Amazon. • U. Brandes, T. Erlebach (Eds.): Network Analysis: Methodological Foundations. LNCS, Springer, Berlin 2005. Amazon. s s l y s y s s Ljubljana, 31. januar 2007 % s & * 6