An improved game-theoretic approach to uncover overlapping communities

How can we uncover overlapping communities from complex networks to understand the inherent structures and functions? Chen et al. firstly proposed a community game (Game) to study this problem, and the overlapping communities have been discovered when the game is convergent. It is based on the assum...

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Main Authors: Sun, Hong-Liang, Ch'ng, Eugene, Yong, Xi, Garibaldi, Jonathan M., See, Simon, Chen, Duan-Bing
Format: Article
Published: World Scientific Publishing 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/46931/
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author Sun, Hong-Liang
Ch'ng, Eugene
Yong, Xi
Garibaldi, Jonathan M.
See, Simon
Chen, Duan-Bing
author_facet Sun, Hong-Liang
Ch'ng, Eugene
Yong, Xi
Garibaldi, Jonathan M.
See, Simon
Chen, Duan-Bing
author_sort Sun, Hong-Liang
building Nottingham Research Data Repository
collection Online Access
description How can we uncover overlapping communities from complex networks to understand the inherent structures and functions? Chen et al. firstly proposed a community game (Game) to study this problem, and the overlapping communities have been discovered when the game is convergent. It is based on the assumption that each vertex of the underlying network is a rational game player to maximize its utility. In this paper, we investigate how similar vertices affect the formation of community game. The Adamic–Adar Index (AA Index) has been employed to define the new utility function. This novel method has been evaluated on both synthetic and real-world networks. Experimental study shows that it has significant improvement of accuracy (from 4.8% to 37.6%) compared with the Game on 10 real networks. It is more efficient on Facebook networks (FN) and Amazon co-purchasing networks than on other networks. This result implicates that “friend circles of friends” of Facebook are valuable to understand the overlapping community division.
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institution University of Nottingham Malaysia Campus
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publishDate 2017
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spelling nottingham-469312020-05-04T19:05:01Z https://eprints.nottingham.ac.uk/46931/ An improved game-theoretic approach to uncover overlapping communities Sun, Hong-Liang Ch'ng, Eugene Yong, Xi Garibaldi, Jonathan M. See, Simon Chen, Duan-Bing How can we uncover overlapping communities from complex networks to understand the inherent structures and functions? Chen et al. firstly proposed a community game (Game) to study this problem, and the overlapping communities have been discovered when the game is convergent. It is based on the assumption that each vertex of the underlying network is a rational game player to maximize its utility. In this paper, we investigate how similar vertices affect the formation of community game. The Adamic–Adar Index (AA Index) has been employed to define the new utility function. This novel method has been evaluated on both synthetic and real-world networks. Experimental study shows that it has significant improvement of accuracy (from 4.8% to 37.6%) compared with the Game on 10 real networks. It is more efficient on Facebook networks (FN) and Amazon co-purchasing networks than on other networks. This result implicates that “friend circles of friends” of Facebook are valuable to understand the overlapping community division. World Scientific Publishing 2017-09-07 Article PeerReviewed Sun, Hong-Liang, Ch'ng, Eugene, Yong, Xi, Garibaldi, Jonathan M., See, Simon and Chen, Duan-Bing (2017) An improved game-theoretic approach to uncover overlapping communities. International Journal of Modern Physics C, 28 (8). 1750112-1-1750112-17. ISSN 1793-6586 Overlapping community detection; game theory; complex networks http://www.worldscientific.com/doi/abs/10.1142/S0129183117501121 doi:10.1142/S0129183117501121 doi:10.1142/S0129183117501121
spellingShingle Overlapping community detection; game theory; complex networks
Sun, Hong-Liang
Ch'ng, Eugene
Yong, Xi
Garibaldi, Jonathan M.
See, Simon
Chen, Duan-Bing
An improved game-theoretic approach to uncover overlapping communities
title An improved game-theoretic approach to uncover overlapping communities
title_full An improved game-theoretic approach to uncover overlapping communities
title_fullStr An improved game-theoretic approach to uncover overlapping communities
title_full_unstemmed An improved game-theoretic approach to uncover overlapping communities
title_short An improved game-theoretic approach to uncover overlapping communities
title_sort improved game-theoretic approach to uncover overlapping communities
topic Overlapping community detection; game theory; complex networks
url https://eprints.nottingham.ac.uk/46931/
https://eprints.nottingham.ac.uk/46931/
https://eprints.nottingham.ac.uk/46931/