Modeling and simulation of information dissemination model considering user’s awareness behavior in mobile social networks

Chun-Yan Sang and Shi-Gen Liao

Physica A: Statistical Mechanics and its Applications, 2020, vol. 537, issue C

Abstract: With the rapid development of mobile sensing devices and Internet technology, any user can publish, comment, or forward information through social platforms. Meanwhile, while speeding up the speed and scope of information dissemination, it is difficult to distinguish the authenticity and reliability of the information. Users’ ability to discriminate information depends on their conscious behavior and knowledge level. According to the level of user awareness, the population can be split into five different states when information is generated. In order to know the evolution trend of information over time, a novel information dissemination model in mobile social networks based on the traditional SIR model is proposed in this work, which can be called SEIRD. From the theoretical point of view, the basic reproduction number R0 and equilibrium of the proposed model are given. We also analyze the local and global stability of the rumor-free equilibrium. Furthermore, to verify the effectiveness of the proposed model, a series of numerical simulations experiments and results analysis are given. Moreover, the impacts of different parameters of the proposed model are carried out.

Keywords: Information propagation; Mobile environment; Dynamic system; Stability analysis; Equilibrium (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119315080
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:537:y:2020:i:c:s0378437119315080

DOI: 10.1016/j.physa.2019.122639

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 ().