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| SA-LEN Based Network Community Detection |
| GU Yiran, SUN Hui
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| Automation college, Nanjing University of Posts and Telecommunications, Nanjing 210000, China |
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Abstract Division of network community contributes to a better understanding of community structure and predict the behavior of complex network, and has great application value in social network, information recommendation and precision marketing, and so on. This paper builds a LR-S hierarchical network, proposed a SA-LEN evaluation function of similarity degree and a SA-LEN community detecting algorithm, based on the two factors that shortest path length of L-IRS networkand activeness of R-RTCS network. This algorithm proved to be effective in nature networks and computer generated networks.
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Received: 16 October 2014
Published: 22 June 2026
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