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Finding and testing network communities by lumped Markov chains
networks communities Markov chains random walks
2011/8/29
Identifying communities (or clusters), namely groups of nodes with comparatively strong internal connectivity, is a fundamental task for deeply understanding the structure and function of a network. Y...
Model of communities isolation at hierarchical modular networks
hierarchical modular networks Isolation model
2011/8/29
The model of community isolation was extended to the case when individuals are randomly placed at nodes of hierarchical modular networks. It was shown that the average number of blocked nodes (individ...
Emergence of Bursts and Communities in Evolving Weighted Networks
Evolving Weighted Networks Bursts and Communities
2011/8/26
Understanding the patterns of human dynamics and social interaction, and the way they lead to the formation of an organized and functional society are important issues especially for techno-social dev...
A evolutionary method for finding communities in bipartite networks
evolutionary method bipartite networks
2010/11/16
Common practice in community structure detection is to develop different methods for different classes of networks. Here, we first show that unipartite networks and directed networks can be uniformly...
Detecting Communities in Tripartite Hypergraphs
Detecting Communities Tripartite Hypergraphs
2010/11/17
In social tagging systems, also known as folksonomies, users collaboratively manage tags to annotate resources. Naturally, social tagging systems can be modeled as a tripartite hypergraph, where there...