COMMUNITY FINDING IN COMPLEX NETWORKS

Xiangjun Shen, Zengfu Wang () and Lenan Wu
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Xiangjun Shen: Department of Automation, University of Science and Technology of China, Hefei, Anhui, 230027, China;
Zengfu Wang: Department of Automation, University of Science and Technology of China, Hefei, Anhui, 230027, China
Lenan Wu: Department of Automation, Department of Radio Engineering, Southeast University, Nanjing, Jiangsu, 210096, China

International Journal of Modern Physics C (IJMPC), 2006, vol. 17, issue 07, 1055-1066

Abstract: The investigation of community structures in complex networks is an important issue in many domains and disciplines. In this paper, we propose a novel method to address the problem based on evaluation of the community structure. By testing the proposed algorithm on artificial and real-world networks, experimental results demonstrate that our approach is both accurate and fast. Our algorithm may shed light on uncovering the universal principles of network architectures and topologies.

Keywords: Complex networks; community; community structure (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S012918310600976X

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