Exploring Triangle-Free Dense Structures

被引:1
|
作者
Lu, Can [1 ]
Yu, Jeffrey Xu [2 ]
Wei, Hao [1 ]
机构
[1] Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Dept SEEM, Hong Kong, Hong Kong, Peoples R China
关键词
Triangle-free; dense structures; social networks; COMMUNITY STRUCTURE; RANDOM GRAPHS;
D O I
10.1109/TKDE.2017.2764468
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Triadic closure is ubiquitous in social networks, which refers to the property among three individuals, A, B, and C, such that if there exist strong ties between A-B and A-C, then there must be a strong or weak tie between B-C. Related to triadic closure, the number of triangles has been extensively studied since it can be effectively used as a metric to analyze the structure and function of a network. In this paper, from a different viewpoint, we study triangle-free dense structures which have received little attention. We focus on K-3,K-3 where there are two subsets of three vertices, a vertex in a subset has an edge connected to every vertex in another subset while it does not have an edge to any other vertex in the same subset. Such K-n,K-n in general implies a philosophy contradiction: (a) Any two individuals are friends if they have no common friends, and (b) Any two individuals are not friends if they have common friends. However, we find such induced K-3,K-3 does exist frequently, and they do not disappear over time over a real academic collaboration network. In addition, in the real datasets tested, nearly all edges appearing in K-3,K-3 appear in some triangles. We analyze the expected numbers of induced K-3,K-3 and triangles (Delta) in four representative random graph models, namely, Erdos-Renyi random graph model, Watts-Strogatz small-world model, Barabasi-Albert preferential attachment model, and configuration model, and give an algorithm to enumerate all distinct K-3,K-3 in an undirected social network. We conduct extensive experiments on both real and synthetic datasets to confirm our findings. As an application, such K-3,K-3 found helps to find new stars collaborated by well-known figures who themselves do not collaborate.
引用
收藏
页码:278 / 291
页数:14
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