| 褚叶祺*,丁佳骏**.基于Louvain算法的作者合著网络社区划分研究[J].高技术通讯(中文),2021,31(3):257~262 |
| 基于Louvain算法的作者合著网络社区划分研究 |
| Research on community detection in co-authorship networks based on Louvain algorithm |
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| DOI：10.3772/j.issn.1002-0470.2021.03.005 |
| 中文关键词: 作者合著网络；社区划分；Louvain |
| 英文关键词: co-authorship network, community detection, Louvain |
| 基金项目: |
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| 摘要点击次数: 1727 |
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| 中文摘要: |
| 对作者合著网络进行社区划分有助于挖掘科研人员的合作和交流模式。 采用Louvain算法将C-DBLP作者发文合作关系公开数据集进行了社区划分，并采用模块度对划分结果进行评估。 结果表明，Louvain算法能够快速高效地处理具有数千个节点的网 络，与LED算法和GN算法相比，能更有效地进行社区划分。 研究结果揭示了各个学科不同的合作交流模式，有助于挖掘潜在的合作团体，为学科合作研究提供帮助。 |
| 英文摘要: |
| The community detection in co-authorship networks is of great significance for understanding the cooperation and communication patterns of researchers. In this paper, Louvain algorithm is used in community detection in C-DBLP dataset, and the results are evaluated by modularity. Louvain algorithm can efficiently deal with networks with thousands of nodes, compared with the LED algorithm and G-N algorithm, it's more effectively in the commu-nity detection. The results reveal different disciplines' cooperation and communication mode, helping to mining po-tential cooperative groups and helping for collaborative research. |
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