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From User Comments to On-Line Conversations


Chunyan Wang


Stanford University - Department of Applied Physics

Mao Ye


Hewlett-Packard Laboratories

Bernardo A. Huberman


Hewlett-Packard Laboratories

February 28, 2012


Abstract:     
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that accurately predicts the growth dynamics and structural properties of conversation threads. The model successfully reconciles the differing observations that have been reported in existing studies. By separating artificial factors from user behaviors, 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.

Number of Pages in PDF File: 9

Keywords: social media, online conversations

JEL Classification: E23,C92, D70, D83, M37

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Date posted: February 28, 2012  

Suggested Citation

Wang, Chunyan, Ye, Mao and Huberman, Bernardo A., From User Comments to On-Line Conversations (February 28, 2012). Available at SSRN: http://ssrn.com/abstract=2012183 or http://dx.doi.org/10.2139/ssrn.2012183

Contact Information

Chunyan Wang
Stanford University - Department of Applied Physics ( email )
CA
United States
Mao Ye
Hewlett-Packard Laboratories ( email )
1501 Page Mill Road
Palo Alto, CA 94304
United States
Bernardo A. Huberman (Contact Author)
Hewlett-Packard Laboratories ( email )
1501 Page Mill Road
Palo Alto, CA 94301
United States
650-857-5318 (Phone)
Feedback to SSRN (Beta)


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