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百科词条特征及用户贡献行为研究——以百度百科为例 被引量:23

An Analysis of Wiki Entry Features and User Contribution Behavior:The Case of Baidu Baike
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摘要 百科已成为Web 2.0环境下知识组织的一种新形式,它集中体现了Web 2.0用户参与、协同创作的特点,是Web 2.0的一种典型应用。目前,尤其是在中文环境下,有关百科词条特征及用户贡献行为的研究还不多见。本文采用计量学方法,以近30万条百度百科数据为基础,对词条特征和用户贡献行为进行统计分析。研究发现:词条编辑次数、用户创建词条数和编辑词条数均符合幂率分布,特别是百度百科具有不同于"指数增长"的词条增长规律;对于创建词条与编辑词条行为来说,绝大多数用户没有偏好性。本研究有助于认识百科这种网络信息资源及其贡献者,并为进一步系统优化和用户激励研究提供参考依据。图7。表3。参考文献15。 Wiki, as a typical application of Web 2.0, has become an emerging model for knowledge organization in the Web 2.0 era, which demonstrates several Web 2.0 characteristics, such as user participation and collaborative producing. However, there have been few studies on wiki entry features and user contribution behavior, especially in the Chinese context. Using me- trological methods, this paper analyzes the entry features and user contribution behavior based on about 300,000 entries of Baidu Baike. This research finds that times of entry edits, numbers of entry creation, and numbers of entries edits all follow power-law distribution. Especially, the growth of Baidu Baike entry volume does not follow the exponential pattern. In addition, most users have no preference in creating entries or editing entries. This research helps to better understand Web information resources, op- timize wiki systems, and study the user incentives for participating in such systems.
出处 《中国图书馆学报》 CSSCI 北大核心 2013年第1期79-88,共10页 Journal of Library Science in China
基金 国家社科基金重点项目"互联网用户群体协作行为模式的理论与应用研究"(编号:10ATQ004)的研究成果之一
关键词 百度百科 词条特征 用户贡献 幂率分布 Baidu Baike. Entry features. User contribution. Power-law distribution.
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参考文献15

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