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为在线社交网络寻找社会弱势群体

On Finding Socially Tenuous Groups for Online Social Networks
课程网址: http://videolectures.net/kdd2017_shen_online_social_networks/  
主讲教师: Chih-­Ya Shen
开课单位: 视频讲座网
开课时间: 2017-10-09
课程语种: 英语
中文简介:
现有的寻找社会群体的研究大多集中在社会网络中的密集子图上。然而,发现社会弱势群体也有许多重要的应用。在本文中,我们引入k三角形的概念来度量一个群的微弱性。然后,我们提出了一个新的研究问题,最小k三角断开连接群(MkTG),从在线社交网络中寻找一个社会脆弱群体。证明了MkTG在任意图的任意比例内是NP-Hard且不可逼近的,但在阈值图中是多项式时间可处理的。设计了两种算法,即TERA和TERA- adv,利用图理论方法有效地求解一般图上的MkTG。在7个真实数据集上的实验结果表明,所提算法在效率和解的质量上都优于现有算法。
课程简介: Existing research on finding social groups mostly focuses on dense subgraphs in social networks. However, finding socially tenuous groups also has many important applications. In this paper, we introduce the notion of k-triangles to measure the tenuity of a group. We then formulate a new research problem, Minimum k-Triangle Disconnected Group (MkTG), to find a socially tenuous group from online social networks. We prove that MkTG is NP-Hard and inapproximable within any ratio in arbitrary graphs but polynomial-time tractable in threshold graphs. Two algorithms, namely TERA and TERA-ADV, are designed to exploit graph-theoretical approaches for solving MkTG on general graphs effectively and efficiently. Experimental results on seven real datasets manifest that the proposed algorithms outperform existing approaches in both efficiency and solution quality.
关 键 词: 社会群体; 社交网络; 密集子图
课程来源: 视频讲座网
数据采集: 2023-03-06:chenxin01
最后编审: 2023-04-20:liyy
阅读次数: 26