From User Comments to Online Conversations

Wang, Chunyan ; Huberman, Bernardo ; Ye, Mao

HP Development Company

关键词: conversation dynamics;    social networks;    human factors;    theory;    measurement;   

RP-ID  :  HPL-2012-253

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 摘 要 】

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.