Network community detection using modularity density measures
نویسندگان
چکیده
منابع مشابه
Network community detection using modularity density measures
Modularity, since its introduction, has remained one of the most widely used metrics to assess the quality of community structure in a complex network. However the resolution limit problem associated with modularity limits its applicability to networks with community sizes smaller than a certain scale. In the past various attempts have been made to solve this problem. More recently a new metric...
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Complex networks have always been a hot research topic in recent years. In addition to some statistic properties such as scale-free nature, small-world property, modularity is another characteristic common to many types of complex networks. Detecting modular (or community) structure of complex networks is an important but challenging task, where quantitative measures for evaluating the modulari...
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Many real-world complex networks exhibit a community structure, in which the modules correspond to actual functional units. Identifying these communities is a key challenge for scientists. A common approach is to search for the network partition that maximizes a quality function. Here, we present a detailed analysis of a recently proposed function, namely modularity density. We show that it doe...
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This article is about community detection algorithms in graphs. First a new method will be introduced, which is based on an extension [16] of the commonly used modularity [17, 18, 19, 20] and gives overlapping communities. We list and compare the results given by our new method and some other algorithms yileding either overlapping or non-overlapping communities. While the main use of the propos...
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Community detection is a fundamental problem in network science, which has attracted much attention in the past several decades, especially in the social network area. Lots of studies about detecting communities in the static networks have been proposed in the literature, which could be found in survey [1] and method [2]. Real-world networks, especially most of the social networks, however, are...
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ژورنال
عنوان ژورنال: Journal of Statistical Mechanics: Theory and Experiment
سال: 2018
ISSN: 1742-5468
DOI: 10.1088/1742-5468/aabfc8