作者: Bernardo A. Huberman , Mao Ye , Chunyan Wang
DOI:
关键词: Human–computer interaction 、 Social media 、 Dynamics (music) 、 Computer science 、 Conversation 、 Line (text file)
摘要: We present an analysis of user conversations in on-line social media and their evolution over time. propose a dynamic model that accurately predicts the growth dynamics structural properties conversation threads. The successfully reconciles differing observations have been reported existing studies. By separating artificial factors from behaviors, we show there are actually underlying rules common for different websites. Results our supported by empirical measurements throughout number