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In the last years, the study of rumor spreading on social networks produced alot of interest among the scientific community, expecially due to the role ofsocial networks in the last political events. The goal of this work is toreproduce real-like diffusions of information and misinformation in ascale-free network using a multi-agent-based model. The data concerning thevirtual spreading are easily obtainable, in particular the diffusion ofinformation during the announcement for the discovery of the Higgs Boson onTwitter was recorded and investigated in detail. We made some assumptions onthe micro behavior of our agents and registered the effects in a statisticalanalysis replying the real data diffusion. Then, we studied an hypoteticalresponse to a misinformation diffusion adding debunking agents and trying tomodel a critic response from the agents using real data from a hoax regardingthe Occupy Wall Street movement. After tuning our model to reproduce theseresults, we measured some network properties and proved the emergence ofsubstantially separated structures like echochambers, independently from thenetwork size scale, i.e. with one hundred, one thousand and ten thousandagents.

Agent Based Rumor Spreading in a scale-free network