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| Hierarchical Structure Discovery in Social Networks |
| CHENG Qing1, HUANG Sen2, HUANG Jincai1
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1. Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073,China;
2. Unit 78020 of PLA, Kunming 650221, China |
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Abstract According to the fact that the conventional social network analysis methods did not consider the role of network property, such as social individuals′ position, the strength of social relations. We introduced a new social network model based on extended graph and hierarchical structure based on information flow. Also, we proposed a method for discovering the backbone nodes based on the Network Topology Potential Support and a method for discovering the network hierarchy based on the potential flow. The experimental results show the effectiveness of our method in mining the hierarchical structure of networks.
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Received: 30 August 2013
Published: 22 June 2026
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