A Seed-Expanding Method Based on TOPSIS for Community Detection in Complex Networks
The centrality plays an important role in many community-detection algorithms, which depend on various kinds of centralities to identify seed vertices of communities first and then expand each of communities based on the seeds to get the resulting community structure. The traditional algorithms alwa...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/9017239 |