你就是你谈话的对象:检测新闻组中的角色

Danyel Fisher, Marc A. Smith, Howard T. Welser
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引用次数: 296

摘要

了解群体成员的社会角色有助于理解群体的社会背景。我们提出了一种应用社会网络分析的方法来支持在新闻组中描述作者的任务。我们计算并可视化了由选定新闻组中每个作者的回复模式创建的网络,并发现二级自我中心网络为我们提供了不同类型的作者和新闻组之间的明确区别。结果表明,新闻组在参与者的数量和他们扮演的角色方面有所不同。新闻组的特征可以由人口组成,包括问答新闻组、会话新闻组、社会支持新闻组和火焰新闻组。这种方法既适用于寻找不同类型的社交网络空间特征的研究人员,也适用于寻找区分互动伙伴和内容作者的参与者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
You Are Who You Talk To: Detecting Roles in Usenet Newsgroups
Understanding the social roles of the members a group can help to understand the social context of the group. We present a method of applying social network analysis to support the task of characterizing authors in Usenet newsgroups. We compute and visualize networks created by patterns of replies for each author in selected newsgroups and find that second-degree ego-centric networks give us clear distinctions between different types of authors and newsgroups. Results show that newsgroups vary in terms of the populations of participants and the roles that they play. Newsgroups can be characterized by populations that include question and answer newsgroups, conversational newsgroups, social support newsgroups, and flame newsgroups. This approach has applications for both researchers seeking to characterize different types of social cyberspaces as well as participants seeking to distinguish interaction partners and content authors.
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