在Facebook社区寻找专家:谁知道的更多?

T. B. Procaci, S. Siqueira, L. Andrade
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引用次数: 4

摘要

网络社区已经成为用户分享信息的重要场所。在这种情况下,本文中描述的工作旨在分析计算方法,这些方法可以让我们识别在线社区中特定知识领域中具有最高专业水平的用户。在这项研究中,作者从在线社区facebook的Java讨论组中提取数据,捕获一些重要信息并将社区表示为图形。然后,作者将该社区的领结结构与文献中描述的Web和论坛中的结构进行了比较。此外,作者还测试了一些图表指标和算法,以分析它们是否可以提供一种方法来找到这个在线社区的专家。结果表明,四个测试指标可以表明用户是否是专家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding Experts on Facebook Communities: Who Knows More?
Online communities have become important places for users to share information. In this context, the work described in this article aims to analyze computational methods that could allow us to identify users with the highest expertise levels on a specific knowledge domain in an online community. In this study the authots extracted data from a Java discussion group from an online community-Facebook, captured some important information and represented the community as a graph. Then, the authors compared the Bow-tie structure of this community with the ones from the Web and from a forum that are described in the literature. In addition, the authors tested some graph metrics and algorithms in order to analyze if they could provide a method to find the experts in this online community. The results show that four of the tested metrics can indicate if a user is an expert or not.
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