Agent-based model of information spread in social networks
  We propose evolution rules of the multiagent network and determine statistical patterns in life cycle of agents - information messages. The main discussed statistical pattern is connected with the number of likes and reposts for a message. This distribution corresponds to Weibull distribution according to modeling results. We examine proposed model using the data from Twitter, an online social networking service. 
D.V. Lande, A.M. Hraivoronska, B.O. Berezin
cs.SI physics.soc-ph