Rumor spread in social network: Difference between revisions

Revision as of 08:25, 17 July 2020

Revision as of 08:26, 17 July 2020

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The microscopic approaches attracted more attention in the individual's interaction: "who influenced whom."

The known models in this category are the independent cascades (IC) and the linear threshold (LT) models <ref>[1] D. Kempe, J. Kleinberg, É. Tardos, Maximizing the spread of influence through a social network, Proc. Ninth ACM SIGKDD Int. Conf. Knowl. Discov. Data Min. - KDD ’03. (2003) 137. doi:10.1145/956755.956769.</ref>, the energy model <ref> S. Han, F. Zhuang, Q. He, Z. Shi, X. Ao, Energy model for rumor propagation on social networks, Phys. A Stat. Mech. Its Appl. 394 (2014) 99–109. doi:10.1016/j.physa.2013.10.003.</ref>,HISBmodel <ref>A.I.E. Hosni, K. Li, S. Ahmed, HISBmodel : A Rumor Diffusion Model Based on Human Individual and Social Behaviors in Online Social Networks, in: Springer, 2018..</ref> and Galam's Model <ref> S. Galam, Modelling rumors: The no plane Pentagon French hoax case, Phys. A Stat. Mech. Its Appl. 320 (2003) 571–580. doi:10.1016/S0378-4371(02)01582-0.</ref>.

==== Independent cascades models ====

==== Linear threshold models ====

==== Energy model ====

==== HISBmodel model ====

The HISBmodel is a rumor propagation model that can reproduce a trend of this phenomenon and provide indicators to assess the impact of the rumor to effectively understand the diffusion process and reduce its influence.

The variety that exists in human nature makes their decision-making ability pertaining to spreading information unpredictable, which is the primary challenge to model such a complex phenomenon.