Title: A novel rumour propagation model on social networks

Authors: Ailian Wang; Weili Wu; Junjie Chen

Addresses: College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, China ' College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, China; Department of Computer Science, The University of Texas at Dallas, Richardson, Texas 75083, USA ' College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, China

Abstract: In information age, the malevolent spreading of rumours on social networks put forward a new challenge to the security of network and society, it is extremely important to study the inherent laws of rumour spreading in online social networks and propose effective control strategies for rumours. In this paper, based on cellular automaton model, we propose a new rumour spreading model. We first show the propagation characteristics of online social networks rumours spread. Then experimental simulation is carried out under periodic boundary constraints in the process of rumour spread, and the result is compared with real data. In addition, the immunisation strategy to suppress the rumour spreading is analysed with detailed scenarios. The results show that the new model is indeed able to characterise the propagation behaviour on online social networks.

Keywords: cellular automaton; social network; cellular state; rumour spreading model; immunisation strategy.

DOI: 10.1504/IJSNET.2017.086927

International Journal of Sensor Networks, 2017 Vol.25 No.2, pp.126 - 133

Received: 14 Nov 2015
Accepted: 25 Nov 2015
Published online: 03 Oct 2017 *

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