网络社区活动的多样性

T. Hogg, G. Szabó
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引用次数: 7

摘要

用户创建和评价内容以及形成链接的网站显示了许多长尾分布。使用一个这样的网站,组装,我们提出因果机制来解释这些行为。与纯粹的描述性模型不同,我们的机制只使用每个用户可用的信息。我们发现长尾源于用户活动的多样性和评级内容的质量。这些模型不仅可以解释整体行为,还可以根据用户在网站上的早期历史来估计用户和内容的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diversity of online community activities
Web sites where users create and rate content as well as form links display many long-tailed distributions. Using one such site, Essembly, we propose causal mechanisms to explain these behaviors. Unlike purely descriptive models, our mechanisms use only information available to each user. We find the long-tails arise from large diversity of user activity and qualities of the rated content. The models not only explain overall behavior but also allow estimating the qualities of users and content from their early history on the site.
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