This paper proposes a novel definition for community which overcomes the drawbacks of existing methods. With the new definition, efficient community detection ...
Since finding the communities in the network can significantly improve our understanding of the complex relations, lots of work has been done in recent years.
Efficient community detection with additive constrains on large networks ... Community detection has many applications in systems related to complex networks ...
Dec 1, 2012 · In this paper we discuss a very simple approach of combining content and link information in graph structures for the purpose of community discovery.
Missing: additive constrains
Efficient community detection with additive constrains on large networks · Computer Science, Mathematics. Knowl. Based Syst. · 2013.
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In this paper we discuss a very simple approach of combining content and link information in graph structures for the purpose of community discovery, ...
Missing: additive constrains
Mar 29, 2017 · To address these drawbacks, we propose a general, high-speed, effective and parameter-free semi-supervised community detection framework. By ...
Missing: additive constrains
Designing effective algorithms for community detection in graphs is an important and challenging problem. With the rise of massive graphs such as the Web graph, ...
This review article delves into the topic of community detection in graphs, which serves as a thorough exposition of various community detection methods.
Missing: additive | Show results with:additive
One highly effective approach is the optimization of the quality function known as “modularity” over the possible divisions of a network.