Study on Analysis Framework of SNS Social Network Based on Clustering

摘要：

SNS Sites accumulate huge numbers of users and users relationships, which contain tremendous business value. But there is no analysis framework to research the relationship networks of SNS websites users. A analysis framework (AFSNBC) for analyzing the relationships of SNS based on the modern psychology theory is put forward. AFSNBC studies on social networks of SNS sites, using the basic idea of clustering analysis and social network nalysis. AFSNBC defines a indicator intimacy to weight the relationships between SNS users, improves the K-Means clustering algorithm based on member saturation and describes the character and small-world characteristic of SNS social network. The feasibility of AFSNBC is verified by experiment.

关键词： Sns Clustering Social Network Member Saturation Intimacy

作者: Dan Zhang Yue He

作者单位: Business School Sichuan University Chengdu, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Enterprise and Digital Manufacturing(2010年数字化企业与数字化制造国际会议 DEDM 2010)

会议地点: 成都

会议语种:英文

页码: 78-82

在线出版日期: 2010-12-03（万方平台首次上网日期，不代表论文的发表时间）