The competitive information spreading over multiplex social networks
Dong Yang,
Tommy W.S. Chow,
Lu Zhong and
Qingpeng Zhang
Physica A: Statistical Mechanics and its Applications, 2018, vol. 503, issue C, 981-990
Abstract:
It is evident that social networks have become major information sources as well as the most effective platform for information exchange. In social networks, the dynamical propagation of different information often exhibits different dynamical behaviors. And different information may even compete with each other that can determine the dynamical process of information dissemination. These phenomena have led to the present study on the spreading process of competitive information over social networks. In this study, we proposed a competitive information model over the multiplex networks. The simulations of this model are verified by two types of the multiplex networks, such as the real composite network and the artificial composite network. Through controlling the spreading parameters in extensive large-scale simulations, it is found that the final density of stiflers increases with the growth of the spreading rate, while it declines with the increasing of the removal rate. It is also found that the spreading process of the competitive information is closely related to the node degrees on multiplex networks. Through controlling the exchanging rate of competitive information, we are able to determine information dominance accurately. Our new findings validate that the proposed model is capable of characterizing the dynamic evolution of competitive information over multiplex social networks. The results of this study are significant to the study of social science and social platform behavior.
Keywords: Multiplex networks; Competitive information; Information propagation; Real composite network; Artificial composite network (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437118310380
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:503:y:2018:i:c:p:981-990
DOI: 10.1016/j.physa.2018.08.096
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().