A graph clustering method for community detection in complex networks
نویسندگان
چکیده
منابع مشابه
Adaptive clustering algorithm for community detection in complex networks.
Community structure is common in various real-world networks; methods or algorithms for detecting such communities in complex networks have attracted great attention in recent years. We introduced a different adaptive clustering algorithm capable of extracting modules from complex networks with considerable accuracy and robustness. In this approach, each node in a network acts as an autonomous ...
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Like clustering analysis, community detection aims at assigning nodes in a network into different communities. Fdp is a recently proposed density-based clustering algorithm which does not need the number of clusters as prior input and the result is insensitive to its parameter. However, Fdp cannot be directly applied to community detection due to its inability to recognize the community centers...
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search pointers organize the main part of the application on the internet. however, because of information management hardware, high volume of data and word similarities in different fields the most answers to the user s’ questions aren`t correct. so the web graph clustering and cluster placement in corresponding answers helps user to achieve his or her intended results. community (web communit...
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ژورنال
عنوان ژورنال: Physica A: Statistical Mechanics and its Applications
سال: 2017
ISSN: 0378-4371
DOI: 10.1016/j.physa.2016.11.015