Effects of online and offline interaction on rumor propagation in activity-driven networks

He Zhu, Jing Ma and Shan Li

Physica A: Statistical Mechanics and its Applications, 2019, vol. 525, issue C, 1124-1135

Abstract: Considering the influence of the online and offline interaction of individuals, time-varying structure of networks and the diversity of the individuals’ characteristics on the rumor propagation process, a more comprehensive model based on the activity-driven network is proposed in this paper. By means of the mean-field theory, the rumor propagation process is theoretically analyzed and the criticality condition of the widespread of rumors is quantitatively derived. To verify the theoretical results, a series of numerical simulations are conducted. The results demonstrate that the existence of online spreading channel promotes the spread of rumors and lowers the dependence of rumor spreading on the offline channel. In addition, compared with the interaction preference, the propagation ability is a more decisive factor for rumor spreading. Furthermore, within a certain range of the interaction level, the increase of the factor can significantly accelerate the spreading process; however, when the interaction level reaches a certain value, further increasing it will not exert additional influence on the rumor dynamics.

Keywords: Rumor propagation; Online and offline interaction; Activity-driven networks; Rumor spreading threshold (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:525:y:2019:i:c:p:1124-1135

DOI: 10.1016/j.physa.2019.04.006

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