… 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 …

… book contain recent studies on community detection and/or … on Advances in Social Network
Analysis and Mining (ASONAM… into two groups: community detection and evolution in the first …

… to social network community detection. The introduction of social network community detection
shows the different type of definitions for the social network community structure. Different …

… social network (Karate), four subsets of online social networks (Facebook, Twitter, Gplus
and Orkut), a free on-line blogging community (LiveJournal), and an on-line gaming network (…

… and compares the data with that of conventional community detection works [21, 22] by … as
the ground-truth social network. LiveJournal is a blogging and social networking site that has …

… Now, given the affiliation network B(V,C,M), we want to generate a social network G(V,E).
To achieve this we need to specify the process that generates the edges E of G given the …

… the structure of the social network from the … community detection methods. We will also
explore a fourth group of methods that have recently examined temporality in community detection …

… latent communities. Community detection is significant in understanding network structure. …
, effective and robust method for community detection based on an online social network. …

… basis of profile attribute and another on the basis of social activity of a user. Community
detection algorithms aim to find communities based on the network structure, eg, to find groups of …

… social network, where the structure of the network changes over time. In our day-to-day life,
the social network … social network can be analyzed to model the network evolution over time. …