Dec 2, 2018 · In our study, we propose an overlapping community detection method based on the seed expansion strategy applying to both the unweighted and the ...
This study proposes an overlapping community detection method based on the seed expansion strategy applying to both the unweighted and the weighted networks ...
Jan 11, 2019 · The existing algorithms aim to extract communities of the topological features in networks. However, the edges of practical complex networks ...
The existing algorithms aim to extract communities of the topological features in networks. ... In our study, we propose an overlapping community detection method ...
It uses hierarchical agglomerative approach and calculates community structure by optimizing the modularity for all partitions. In this algorithm, the ...
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What is overlapping communities in social networks?
Which of the following algorithm is used to detect communities in a network?
In this paper we propose a simple new community detection algorithm that combines the concepts of cliques and modularity optimization. It consists of two phases ...
Two Phases Aggregation (TPA), an algorithm is proposed for network community structure detection in this present study. The algorithm consists of two phases, ...
In this paper, we present a new method for detecting overlapping communities in networks with a predefined number of clusters called LPAM (Link Partitioning ...
The Louvain method for community detection is a method to extract non-overlapping communities from large networks created by Blondel et al. from the ...
Here we validate this assumption on 6 large scale social, collaboration and information networks where nodes explicitly state their community memberships. By ...