… or clusters in the network is known as community detection. It forms one of the key tasks of
social network analysis.2 The detection of communities in social networks can be useful in …

… Therefore, there is an immediate need for efficient algorithms to analyze social networks.
We address one particular task in social network mining, namely community detection. A …

… In most social networks, triangles counts are usually high than they are in nonsocial
networks, so our approach for community detection is based on the enumeration of all maximal …

… Community discovery in online social networks … Survey Dynamic community identification
and social network … background of network community detection for better understanding. …

… A social network’s structure consists of users and relationships. Some … community, and
overlapping communities have common nodes. For a given social network, community detection …

… Community detection in a social network, as a result, is the … Community detection and graph
clustering problem are … the same objective of partitioning network nodes into groups, the …

… Moreover, notice that in case of Epinions social network and the astrophysics coauthorship
network Graclus tends to prefer larger clusters than the Newman’s algorithm. Also, Graclus …

… Taking into account the variability of feasible solutions for different nodal aggregation criteria
for the problem of DMA design, social network community detection algorithms, grounded …

… Community detection, the process of identifying subgroups of highly connected individuals
within a network, is an aspect of social network … Guidance on using community detection …

… identify hidden communities in a social network with these assumptions. In a social network,
many … Because there is no other community detection approach based on Facebook social …