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1、PRAMANA°cIndianAcademyofSciencesVol.64,No.6
2、journalofJune2005physicspp.1149{1159Scale-freerandomgraphsandPottsmodelD-SLEE1;2,K-IGOH1,BKAHNG1andDKIM11SchoolofPhysicsandCenterforTheoreticalPhysics,SeoulNationalUniversity,Seoul151-747,Korea2TheoretischePhysik,Univ
3、ersitÄatdesSaarlandes,66041SaarbrÄucken,GermanyAbstract.Weintroduceasimplealgorithmthatconstructsscale-freerandomgraphse±ciently:eachvertexihasaprescribedweightP/i¡¹(0<¹<1)andanedgeicanconnectverticesiandjwithratePiPj.Correspondingequilibriumensembleisidenti¯ed
4、andtheproblemissolvedbytheq!1limitoftheq-statePottsmodelwithinhomogeneousinteractionsforallpairsofspins.Thenumberofloopsaswellasthegiantclustersizeandthemeanclustersizeareobtainedinthethermodynamiclimitasafunctionoftheedgedensity.Variouscriticalexponentsassocia
5、tedwiththepercolationtransitionarealsoobtainedtogetherwith¯nite-sizescalingforms.Theprocessofformingthegiantclusterisqualitativelydi®erentbetweenthecasesof¸>3and2<¸<3,where¸=1+¹¡1isthedegreedistributionexponent.Whilefortheformer,thegiantclusterformsabruptlyatth
6、epercolationtransition,forthelatter,however,theformationofthegiantclusterisgradualandthemeanclustersizefor¯niteNshowsdoublepeaks.Keywords.Scale-freerandomgraph;percolationtransition;Pottsmodel.PACSNos89.70.+c;89.75.-k;05.70.Jk1.IntroductionGraphtheoreticapproac
7、hisofgreatvaluetocharacterizecomplexsystemsfoundinsocial,informationalandbiologicalareas.Here,asystemisrepresentedasagraphornetworkwhoseverticesandedgesstandforitsconstituentsandinteractions.AsimplemodelforsuchnetworksistherandomgraphmodelproposedbyErd}osandR¶e
8、nyi(ER)[1].IntheERmodel,Nnumberofverticesarepresentfromthebeginningandedgesareaddedonebyoneinthesystem,connectingpairsofverticesselectedrandomly.ThedegreedistributionisPoissonian.However,manyreal-worldnetworkssuchastheworld-wideweb,theInternet,thecoauthorship,t
9、heproteininteractionnetworksandsoondisplaypower-lawbehaviorsinthedegreedistribution.Suchnetworksarecalledscale-free(SF)networks[2].ThankstorecentextensivestudiesofSFnetworks