[1]王韫烨,孔 珊,李亚伦.基于结构近似度的社交网络聚类[J].南京理工大学学报(自然科学版),2020,44(02):230-235.[doi:10.14177/j.cnki.32-1397n.2020.44.02.015]
　Wang Yunye,Kong Shan,Li Yalun.Social network clustering analysis based on structural approximation[J].Journal of Nanjing University of Science and Technology,2020,44(02):230-235.[doi:10.14177/j.cnki.32-1397n.2020.44.02.015]
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基于结构近似度的社交网络聚类
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《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

卷:
44卷
期数:
2020年02期
页码:
230-235
栏目:
出版日期:
2020-02-28

文章信息/Info

Title:
Social network clustering analysis based on structural approximation
文章编号:
1005-9830(2020)02-0230-06
作者:
王韫烨1; 孔 珊1; 李亚伦2
1.郑州师范学院 信息科学与技术学院,河南 郑州 450044; 2.天津工业大学 电子与信息工程学院,天津300387
Author(s):
Wang Yunye1; Kong Shan1; Li Yalun2
1.College of Information Science & Technology,Zhengzhou Normal University,Zhengzhou 450044,China; 2.School of Electronic and Information Engineering,Tianjin Polytechnic University,Tianjin 300387,China
关键词:
社交网络;  有向图;  网络聚类;  结构近似度
Keywords:
social network;  directed graphs;  network clustering;  structural approximation
分类号:
TP18
DOI:
10.14177/j.cnki.32-1397n.2020.44.02.015
摘要:
针对基于结构近似度的聚类算法无法解决非对称网络聚类的问题,该文根据社交网络的特点,提出了基于结构近似度的有向社交网络聚类算法,通过将社交网络抽象为图结构,将网络聚类问题看成图论中的子图划分问题,实现了对社交网络的准确聚类分簇,且分簇复杂度较低。使用C++语言编程实现该算法,通过自定义有向网络数据集和标准数据集的测试表明,该算法对社交网络结构的划分较为准确,且能鉴别离群节点和枢纽节点。
Abstract:
In view of that the clustering algorithm based on structural approximation can not solve the clustering problem of the asymmetric network,a directed clustering algorithm based on structural approximation is proposed here. The social network is studied as a graph structure,and the network clustering problem is regarded as a sub-graph division to realize the clustering of directed graphs with low complexity. The algorithm was achieved by C++programming,and the customized directed network datasets and standard datasets are used to test the proposed algorithm. The experimental results show that the algorithm for the network structure is more accurate and can identify the outliers and hub points.

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备注/Memo

备注/Memo:
收稿日期:2019-03-31 修回日期:2019-06-04
基金项目:国家自然科学基金(61572447; 61972456); 河南省科技攻关项目(162102310238)
作者简介:王韫烨(1980-),女,硕士,讲师,主要研究方向:网络与信息安全、智能计算,E-mail:zz_paper@126.com; 通讯作者:李亚伦(1976-),女,副教授,主要研究方向:智能算法应用、复杂网络优化等,E-mail:liyalun@tjpu.edu.cn。
引文格式:王韫烨,孔珊,李亚伦. 基于结构近似度的社交网络聚类[J]. 南京理工大学学报,2020,44(2):230-235.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2020-04-20