J4

• 计算机科学 • 上一篇    下一篇

基于静态和动态的社会网络挖掘算法

于卓尔, 周春光, 杨 滨, 王建园, 才 华, 徐 昊, 王 喆   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2008-01-22 修回日期:1900-01-01 出版日期:2008-09-26 发布日期:2008-09-26
  • 通讯作者: 王 喆

Arithmetics of Community Mining Based on Static SocialNetwork and Dynamic Social Network

YU Zhuoer, ZHOU Chunguang, YANG Bin, WANG Jianyuan, CAI Hua, XU Hao, WANG Zhe   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2008-01-22 Revised:1900-01-01 Online:2008-09-26 Published:2008-09-26
  • Contact: WANG Zhe

摘要: 基于社会网络的静态和动态特征, 研究社会网络中的社区发现问题. 针对静态社会网络, 提出了边的Ξ系数及紧密度阈值等概念和Detstructure算法; 针对社会网络的动态特性, 提出了基于衰减策略的融合挖掘算法. 所提出的两种算法在应用中都取得了较好的效果.

关键词: 静态社会网络, 社区发现, 动态社会网络

Abstract: On the basis of static and dynamic features of social network, we studied community mining problemin social network. We introduced the concept of limbic Ξ coefficient and closed threshold value etc., and Dets tructure algorithm for static social network. Focusing on the dynamic nature of social n etwork, weproposedthe amalgamation mining algorithm based on the attenuation strategy. Both the algorithms have made good results in application.

Key words: static social network, community mining, dynamic social network

中图分类号: 

  • TP31