<p>Number of communities identified by the Girvan-Newman algorithm which have none or more nodes that are not homogeneous neither border.</p
Community detection is an important task in network analysis, in which we aim to find a network part...
Community detection is an important aspect of network analysis that has far-reaching consequences, i...
The investigation of community structures in networks is an important issue in many domains and disc...
<p>The algorithm identified 9 research communities that are loosely connected with each other.</p
<p>Number of communities by three community detection algorithms and Yang's labeled community struct...
<p>A comparison of the distribution of communities in both the Normal and DMD networks, obtained usi...
<p>Number of components analysed that have a given percentage of explained nodes (i.e. nodes that ha...
<p>Number of non-singleton communities and singletons by community type: S(tructural), A(ctivity-bas...
To advance the current state of the practice of community finding within networks, this paper presen...
<p>(A) Histogram of total number of communities detected in each network, for the 3 algorithms. Freq...
<p>The algorithm 6 research communities that are loosely connected with each other.</p
<p>Each graph contains 128 vertices, and each vertex is connected to exactly others. These vertices...
Abstract. Identifying community structure can be a potent tool in the analysis and understanding of ...
Community detection is a fundamental problem in the analysis of complex networks. Re-cently, many re...
Abstract—The identification of thematic structures in networks of bibliographically or lexically cou...
Community detection is an important task in network analysis, in which we aim to find a network part...
Community detection is an important aspect of network analysis that has far-reaching consequences, i...
The investigation of community structures in networks is an important issue in many domains and disc...
<p>The algorithm identified 9 research communities that are loosely connected with each other.</p
<p>Number of communities by three community detection algorithms and Yang's labeled community struct...
<p>A comparison of the distribution of communities in both the Normal and DMD networks, obtained usi...
<p>Number of components analysed that have a given percentage of explained nodes (i.e. nodes that ha...
<p>Number of non-singleton communities and singletons by community type: S(tructural), A(ctivity-bas...
To advance the current state of the practice of community finding within networks, this paper presen...
<p>(A) Histogram of total number of communities detected in each network, for the 3 algorithms. Freq...
<p>The algorithm 6 research communities that are loosely connected with each other.</p
<p>Each graph contains 128 vertices, and each vertex is connected to exactly others. These vertices...
Abstract. Identifying community structure can be a potent tool in the analysis and understanding of ...
Community detection is a fundamental problem in the analysis of complex networks. Re-cently, many re...
Abstract—The identification of thematic structures in networks of bibliographically or lexically cou...
Community detection is an important task in network analysis, in which we aim to find a network part...
Community detection is an important aspect of network analysis that has far-reaching consequences, i...
The investigation of community structures in networks is an important issue in many domains and disc...
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