图 书 馆
框架对于社区认同动态社交网络A Framework For Community Identification in Dynamic Social Networks |
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| 课程网址: | http://videolectures.net/kdd07_tantipathananandh_cidsn/ |
| 主讲教师: | Chayant Tantipathananandh |
| 开课单位: | 伊利诺伊大学 |
| 开课时间: | 2007-08-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as “unusually densely knit” subsets of a social network. This notion becomes more problematic if the social interactions change over time. Aggregating social networks over time can radically misrepresent the existing and changing community structure. Instead, we propose an optimization-based approach for modeling dynamic community structure. We prove that finding the most explanatory community structure is NP-hard and APX-hard, and propose algorithms based on dynamic programming, exhaustive search, maximum matching, and greedy heuristics. We demonstrate empirically that the heuristics trace developments of community structure accurately for several synthetic and real-world examples. |
| 关 键 词: | 计算机科学; 网络分析; 社交网络 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-14：yumf |
| 阅读次数: | 40 |