From user comments to on-line conversations
From user comments to on-line conversations
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从用户评论到在线对话
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
B. Huberman
中科院分区：
文献类型：
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作者：
Chunyan Wang;Mao Ye;B. Huberman
我们对在线社交媒体中的用户对话及其随时间的演变进行了分析。我们提出了一个动态模型来预测会话线程的增长动态和结构特性。该模型与现有研究中报道的不同观察结果相一致。通过将人为因素从用户行为中分离出来，我们证明了不同社交媒体网站的在线对话实际上存在潜在的共同规则。我们模型的结果得到了一些不同社交媒体网站的经验测量的支持。
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that predicts the growth dynamics and structural properties of conversation threads. The model reconciles the differing observations that have been reported in existing studies. By separating artificial factors from user behavior, we show that there are actually underlying rules in common for on-line conversations in different social media websites. Results of our model are supported by empirical measurements throughout a number of different social media websites.