Ensemble-based overlapping community detection using disjoint community structures
نویسندگان
چکیده
منابع مشابه
Ensemble-Based Discovery of Disjoint, Overlapping and Fuzzy Community Structures in Networks
Though much work has been done on ensemble clustering in data mining, the application of ensemble methods to community detection in networks is in its infancy. In this paper, we propose two ensemble methods: EnDisCo and MeDOC++. EnDisCo performs disjoint community detection. In contrast, MeDOC++ performs disjoint, overlapping, and fuzzy community detection and represents the first ever ensemble...
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Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...
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Many algorithms have been designed to discover community structure in networks. Most of these detect disjoint communities, while a few can find communities that overlap. We propose a new, two-phase, method of detecting overlapping communities. In the first phase, a network is transformed to a new one by splitting vertices, using the idea of split betweenness; in the second phase, the transforme...
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community detection is a task of fundamental importance in social network analysis. community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. there exist a variety of methods for community detection based on diffe...
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Community detection in complex network has become a vital step to understand the structure and dynamics of networks in various fields. However, traditional node clustering and relatively new proposed link clustering methods have inherent drawbacks to discover overlapping communities. Node clustering is inadequate to capture the pervasive overlaps, while link clustering is often criticized due t...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2019
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2018.08.033