Agent-based model of information spread in social networks

Author: D.V. Lande, A.M. Hraivoronska, B.O. Berezin
Abstract: 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.
Subjects: Social and Information Networks (cs.SI); Physics and Society (physics.soc-ph)  
Cite as: arXiv:1605.08409 [cs.DL] arXiv:1605.08409.pdf [cs.DL]