From User Comments to On-line Conversations

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.

References in corpus (8)

• The origin of bursts and heavy tails in human dynamics
• Robust dynamic classes revealed by measuring the response function of a social system
• Novelty and Collective Attention
• Characterizing and modeling the dynamics of online popularity
• Scaling laws of human interaction activity
• Dynamical and bursty interactions in social networks
• Modeling the structure and evolution of discussion cascades
• Scaling of human behavior during portal browsing

Cited by in corpus (1)

• Cannot Predict Comment Volume of a News Article before (a few) Users Read It