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    题名: Regional subgraph discovery in social networks
    作者: Li, C.-T.;Shan, Man-Kwan;Lin, Shou-De
    沈錳坤;林守德
    贡献者: 資科系
    关键词: Coauthorship;Edge weights;High precision;Information backbone;Query nodes;Region-based;Regional networks;Similar Interests;Social Networks;Subgraphs;Viral marketing;Social networking (online);World Wide Web;Graph theory
    日期: 2012
    上传时间: 2015-04-17 10:55:43 (UTC+8)
    摘要: This paper solves a region-based subgraph discovery problem. We are given a social network and some sample nodes which is supposed to belong to a specific region, and the goal is to obtain a subgraph that contains the sampled nodes with other nodes in the same region. Such regional subgraph discovery can benefit regionbased applications, including scholar search, friend suggestion, and viral marketing. To deal with this problem, we assume there is a hidden backbone connecting the query nodes directly or indirectly in their region. The idea is that individuals belonging to the same region tend to share similar interests and cultures. By modeling such fact on edge weights, we search the graph to extract the regional backbone with respect to the query nodes. Then we can expand the backbone to derive the regional network. Experiments on a DBLP co-authorship network show the proposed method can effectively discover the regional subgraph with high precision scores. Copyright is held by the author/owner(s).
    關聯: WWW`12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.1145/2187980.2188128
    DOI: 10.1145/2187980.2188128
    显示于类别:[資訊科學系] 會議論文

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