… network dataset with 21M nodes [8]; Mobile phone network with … of a community detection
task in evolving large-scale networks. … contributions to dynamic community detection problem: …

… network, and uses it to predict whether or not an update is required. Due to the sparsity of …
datasets of evolving networks, we propose three models to generate evolving networks: a …

… detecting the community structure of a dynamic network according to the framework of evolving
… This work is the first to address the problem of community detection in the evolving graph …

… -of-the-art methods proposed so far that approach the problem of community detection with
computational models inspired by evolution in nature. In particular, the review will focus on …

… This survey highlights the characteristics and challenges of the community detection
problem in dynamic social networks, motivated by this evolution. Our paper investigated and …

… , previously proposed to detect the evolution of clusters over … , evolving patterns of communities
in dynamic networks were … the effectiveness of dynamic community detection. One is that …

… community evolution in heterogeneous information networks. … for heterogeneous networks
to model the communities. Each … Community detection and clustering in networks have been …

… clique percolation method to identify community-centric events in the evolution of dynamic
graphs. This extension involved applying community detection to joint graphs for pairs of …

… detecting community evolution in social networks, where a series of significant events is
defined for each community. A … However, past community detection analyses of social networks …

… Based on these, we present a new overlapping community detection method. It not only
reveals relationships among nodes in the current snapshot but also has a high probability to …