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.
@article{arxiv.1605.08409,
title = {Agent-based model of information spread in social networks},
author = {D. V. Lande and A. M. Hraivoronska and B. O. Berezin},
journal= {arXiv preprint arXiv:1605.08409},
year = {2016}
}