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A Diachronic Analysis of Gender-Related Web Communities Using a HITS-Based Mining Tool

机译:使用基于HITS的挖掘工具对与性别相关的Web社区进行历时性分析

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Web mining is one of the most important research issues in modern information technology. Among Web mining techniques, the Web structure mining is essential to find Web communities. A variety of mining algorithms and tools have been developed for finding Web communities. In this research, we pay attention to the HITS-based Web structure mining tool "Companion-", which is able to provide diachronic as well as synchronic analysis of Web communities. The capability of diachronic analysis is essential, particularly when a mining tool is applied to investigate a Web community—like the gender-related community—that changes shape dramatically over time according to socio-cultural and political changes. In this paper we first observe how changes in the real world communities, i.e. organizations their members, can be reflected on the Web as changes in Web communities. Second, we analyze gender-related Web communities to discover new trends or movements that are hard to identify without a mining tool capable of diachronic analysis. Last, we investigate a case that calls for the deciphering capability of miners.
机译:Web挖掘是现代信息技术中最重要的研究问题之一。在Web挖掘技术中,Web结构挖掘对于找到Web社区至关重要。已经开发了各种挖掘算法和工具来查找Web社区。在这项研究中,我们关注基于HITS的Web结构挖掘工具“ Companion-”,该工具能够提供Web社区的历时性和同步性分析。历时性分析的能力至关重要,尤其是在使用挖掘工具来调查Web社区(如与性别相关的社区)时,这种能力会随着社会文化和政治变化而急剧变化。在本文中,我们首先观察现实世界社区中的变化(即组织其成员)如何作为Web社区中的变化反映在Web上。其次,我们分析与性别相关的Web社区,以发现没有趋势分析能力的挖掘工具就难以识别的新趋势或运动。最后,我们调查了一个要求矿工解密能力的案例。

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