Overlapping Communities Generation for Online Support Forums

F. Wang, Hakan Duman, Duong Nguyen, Simon Thompson
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引用次数: 2

Abstract

This paper presents a novel approach of overlapping communities generation for online support forums. Different from traditional online forums that provide the most similar or relevant information to respond to a user query, the approach proposed in this paper manages online forums and provides user support based on overlapping communities. Inspired by natural societies, a forum is deemed as a complex network in which all entities (keywords, posts and user) of an online forum are grouped into a series of communities that can share members with each other. To enable this, a kind of keyword association graph is constructed based on the co-occurrences of keywords in user posts. CPM (Clique Percolation Method) is then applied to discover closely connected cliques (core clusters) in the graph. The core keyword clusters absorb related posts and users to form communities and the communities are naturally overlapping. The communities are also extended to include other un-clustered but relevant posts and users so all entities in the forum belong to at least one community. Overlapping communities in online forums provide a useful means to support various services including recommendation, alerting and profiling customer support.
在线支持论坛的重叠社区生成
本文提出了一种新的在线支持论坛重叠社区生成方法。与传统的在线论坛提供最相似或最相关的信息来响应用户查询不同,本文提出的方法基于重叠社区管理在线论坛并提供用户支持。受自然社会的启发,论坛被认为是一个复杂的网络,在这个网络中,一个在线论坛的所有实体(关键词、帖子和用户)被分组成一系列的社区,这些社区可以相互分享成员。为了实现这一点,基于用户帖子中关键词的共现构造了一种关键词关联图。然后应用CPM (Clique渗流法)来发现图中紧密连接的团(核心簇)。核心关键词集群吸收相关的帖子和用户形成社区,社区自然重叠。社区还扩展到包括其他非集群但相关的帖子和用户,因此论坛中的所有实体都至少属于一个社区。在线论坛中的重叠社区提供了一种有用的方法来支持各种服务,包括推荐、警报和分析客户支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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