作者
Hanghang Tong, Christos Faloutsos
发表日期
2006/8/20
图书
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
页码范围
404-413
简介
Given Q nodes in a social network (say, authorship network), how can we find the node/author that is the center-piece, and has direct or indirect connections to all, or most of them? For example, this node could be the common advisor, or someone who started the research area that the Q nodes belong to. Isomorphic scenarios appear in law enforcement (find the master-mind criminal, connected to all current suspects), gene regulatory networks (find the protein that participates in pathways with all or most of the given Q proteins), viral marketing and many more.Connection subgraphs is an important first step, handling the case of Q=2 query nodes. Then, the connection subgraph algorithm finds the b intermediate nodes, that provide a good connection between the two original query nodes.Here we generalize the challenge in multiple dimensions: First, we allow more than two query nodes. Second, we allow a whole …
引用总数
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学术搜索中的文章
H Tong, C Faloutsos - Proceedings of the 12th ACM SIGKDD international …, 2006