Research on Community Detection and Core Node Discovery Based on Improved Louvain Algorithm

doi:10.3969/j.issn.1671-1122.2025.12.009

Abstract

Abstract:

In the context of community detection, this paper proposed a community detection method based on the improved Louvain algorithm, and conducted in-depth mining of core nodes in the community by constructing a comprehensive scoring model combined with multiple centrality indicators. The improved algorithm significantly improved the accuracy and efficiency of community detection by merging redundant edges and optimizing node division. In the weight selection of the comprehensive scoring model, the particle swarm algorithm was introduced to reduce the search complexity, thereby further improving the model’s performance in core node identification. In the experiment, this paper used multiple data set networks to verify the effectiveness of this method. The results show that the improved Louvain algorithm has better community structure identification capabilities in complex networks. At the same time, by comparing the core node identification effects of different centrality indicators, it was found that the comprehensive scoring model combined with the particle swarm optimization algorithm has obvious advantages in information dissemination and node importance assessment. This research result provides an effective technical means for community detection and core node identification, and has the potential to be further expanded to larger-scale networks.

Key words: community detection, core node, Louvain, particle swarm

CLC Number:

TP309

LIU Dahe, XIU Jiapeng, YANG Zhengqiu. Research on Community Detection and Core Node Discovery Based on Improved Louvain Algorithm[J]. Netinfo Security, 2025, 25(12): 1936-1947.

Figures/Tables 9

References 35

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数据集	节点数/个	边数/条	描述
Karate	34	78	俱乐部成员间的友谊关系
Dolphins	62	159	海豚的社交互动
Polbooks	105	441	政治书籍的共同购买关系
Football	115	613	大学橄榄球队的比赛
Email	1133	5351	电子邮件网络
Facebook	4039	88234	脸书中的社交圈
Twitter	81306	1768149	推特中的社交圈

数据集	GN	LV	DFL	KM	CL	IL
Karate	0.3520	0.4345	0.4435	0.3898	0.4632	0.4673
Dolphins	0.5059	0.5188	0.5383	0.4772	0.5123	0.5197
Polbooks	0.5073	0.5267	0.5211	0.5046	0.5269	0.5252
Football	0.5394	0.6044	0.6039	0.5552	0.6099	0.6112
Email	0.4328	0.5327	0.5201	0.4698	0.5567	0.6011
Facebook	0.7829	0.8349	0.8451	0.8138	0.8328	0.8531
Twitter	0.7923	0.8068	0.8101	0.8011	0.8145	0.8201

数据集	节点数 /个	原始边数/条	合并后边数/条	边减少比	LV 时间 /s	IL时间 /s
Karate	34	78	50	35.89%	0.0123	0.0095
Dolphins	62	159	98	38.49%	0.0241	0.0178
Polbooks	105	441	301	31.75%	0.0453	0.0367
Football	115	613	412	32.87%	0.0512	0.0431
Email	1133	5351	17436	31.76%	0.7851	0.6157
Facebook	4039	88234	60123	31.83%	2.9453	2.0148
Twitter	81306	1768149	1205720	31.81%	315.2345	208.4356

数据集	节点	TR	BC	K-shell	PR	TPN
Karate	Top-1	0.0808	0.0825	0.0814	0.0924	0.0803
	Top-3	0.0742	0.0738	0.0731	0.0731	0.0731
	Top-5	0.0689	0.0672	0.0672	0.0675	0.0675
Dolphins	Top-1	0.0933	0.0936	0.0932	0.0931	0.0928
	Top-3	0.0929	0.0927	0.0918	0.0923	0.0916
	Top-5	0.0911	0.0907	0.0902	0.0910	0.0899
Polbooks	Top-1	0.0497	0.0478	0.0451	0.0448	0.0440
	Top-3	0.0484	0.0453	0.0426	0.0435	0.0433
	Top-5	0.0471	0.0424	0.0415	0.0421	0.0410