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Local community detection in multilayer networks
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
The problem of local community detection in graphs refers to the identification of a community that is specific to a query node and relies on limited information about the network structure. Existing approaches for this problem are defined to work in dynamic network scenarios, however they are not designed to deal with complex real-world networks, in which multiple types of connectivity might be considered. In this work, we fill this gap in the literature by introducing the first framework fordoi:10.1109/asonam.2016.7752422 dblp:conf/asunam/InterdonatoTISP16 fatcat:rhbeh3f6zbbfjosyvdwqlyannm