™™‰‰™‰‰™‰‰‰Detecting, Understanding and Exploiting Web communitiesClosureby Athena Vakali & Ioannis KompatsiarisConclusionsin summary ...different community definitions – most of them rely on structure – Web relevant : graph/spectral; overlapping & interactions-driven (Web 2.0) significant number of community detection methodologies - Web relevant : centralityqy/cliques, Bippgartite graph-based,y, Modularity optimization (in general: computationally efficient approaches)Web graph visualization - Web relevant : communities are not always “guaranteed”exploitations of communities on the Web :navigation, retrievalrecommendationssocial Web 2.0content outsourcing....Detecting, Understanding and Exploiting Web communitiesAthena Vakali & Ioannis Kompatsiaris 2™™™™™™™™™™™Trends Trends - - IIssues ssues (()I)huge scales on the Web – communities to support compression – algorithms optimizationexitistiing experimentattiions on fftragmented datasets -standard test sets for comparisons are neededprohibiting complexities require approximationscommunities evaluation – more than the modularity measureDetecting, Understanding and Exploiting Web communitiesAthena Vakali & Ioannis Kompatsiaris 3Trends -Trends - IIssues ssues (()II) communities evolution & dynamics (time, social/semantic criteria)embed communities to the informationinformation rretrievaletrieval processcommunities interpretation … are they meaningful/useful ...