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首页> 外文期刊>電子情報通信学会技術研究報告. デ-タ工学. Data Engineering >Extracting web communities as a dense subgraph of web graph
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Extracting web communities as a dense subgraph of web graph

机译:将Web社区提取为Web图的密集子图

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In this paper, we describe the properties of the web communities derived as two distinct types of dense subgraphs in web graph. Web graph consists of nodes and edges, which represent web pages and hyperlinks respectively. A web community is a set of web pages having a common topic and so far various graph theoretical approaches have been proposed to extract web communities from web graph. Although all these approaches regard a web community as the dense part of web graph, the graph structures are different from each other. We analyze the effects of structural difference in the dense subgraph on the characteristic of web comn1uI1ities obtained by methods based on complete bipartite graphs and maximum flow algorithm.
机译:在本文中,我们描述了Web图中衍生的Web社区的属性。 Web图包含节点和边缘,分别表示网页和超链接。 Web社区是一组具有共同主题的网页,到目前为止已经提出了各种图形理论方法来从Web图中提取Web社区。 尽管所有这些方法都将网络社区视为Web图的密集部分,但是图形结构彼此不同。 我们分析了基于完整二分曲线图和最大流量算法的方法对致密的子图的结构差异的影响。

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