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Community Discovery in Dynamic Networks
2018
ACM Computing Surveys
Networks built to model real world phenomena are characeterised by some properties that have attracted the attention of the scientific community: (i) they are organised according to community structure and (ii) their structure evolves with time. Many researchers have worked on methods that can efficiently unveil substructures in complex networks, giving birth to the field of community discovery. A novel and challenging problem started capturing researcher interest recently: the identification
doi:10.1145/3172867
fatcat:x6gcg42j3raklfr2f2y3ou5u44