期刊
COMPLEXITY
卷 2021, 期 -, 页码 -出版社
WILEY-HINDAWI
DOI: 10.1155/2021/9986895
关键词
-
资金
- Northeastern University Industry-University-Research Strategic Cooperation Project [71971050]
This paper presents a novel algorithm based on node betweenness properties, and experimental results demonstrate its effectiveness and superiority in community detection.
Community detection of complex networks has always been a hot issue. With the mixed parameters mu increase in network complexity, community detection algorithms need to be improved. Based on previous work, the paper designs a novel algorithm from the perspective of node betweenness properties and gives the detailed steps of the algorithm and simulation results. We compare the proposed algorithm with a series of typical algorithms through experiments on synthetic and actual networks. Experimental results on artificial and real networks demonstrate the effectiveness and superiority of our algorithm.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据