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Decomposing a network into small modules or communities is beneficial for understanding the structure and dynamics of the network.
While community detection in unipartite networks has been extensively studied in the past decade, identification of modules or communities in bipartite networks is still in its early stage.
Finally, we partitioned the GBM network into network modules or communities — clusters of network nodes joined together in tightly knit groups, between which there are only looser connections [18].
This modularity algorithm parcellates each functional network into modules or communities of nodes that are more interconnected among themselves than they are connected to the rest of the network.
The modules or communities of a complex network are subsets of nodes [ 4, 6– 8].
And it has been shown that the system components enumerated by Spice often form functional modules or communities.
Similar(51)
The detection of modules or community structure is widely used to reveal the underlying properties of complex networks in biology, as well as physical and social sciences.
In real networks, module or community structure plays a central role in the understanding of topology and dynamics.
This kind of sub-network is termed as a network module or community.
Training modules and community communication models were developed for smooth transfer to the national authorities.
To facilitate revealing the full spectrum of hierarchical modularity of a network, one could also incorporate a cluster detection phase explicitly within the multilevel framework, hence providing a multi-resolution viewing of the modules as communities or metanodes, similarly as was done in the GenePro [ 64] or GLay [ 65].
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