Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks

Joint Authors

Tang, Chaosheng
Zhang, Yaming
Weigang, Li

Source

Journal of Applied Mathematics

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-07-13

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Mathematics

Abstract EN

Traditional empirical models of propagation consider individual contagion as an independent process, thus spreading in isolation manner.

In this paper, we study how different contagions interact with each other as they spread through the network in order to propose an alternative dynamics model for information propagation.

The proposed model is a novel combination of Lotka-Volterra cooperative model and competitive model.

It is assumed that the interaction of one message on another is flexible instead of always negative.

We prove that the impact of competition depends on the critical speed of the messages.

By analyzing the differential equations, one or two stable equilibrium points can be found under certain conditions.

Simulation results not only show the correctness of our theoretical analyses but also provide a more attractive conclusion.

Different types of messages could coexist in the condition of high critical speed and intense competitive environment, or vice versa.

The messages will benefit from the high critical speed when they are both competitive, and adopting a Tit-for-Tat strategy is necessary during the process of information propagation.

American Psychological Association (APA)

Zhang, Yaming& Tang, Chaosheng& Weigang, Li. 2014. Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-484935

Modern Language Association (MLA)

Zhang, Yaming…[et al.]. Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks. Journal of Applied Mathematics No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-484935

American Medical Association (AMA)

Zhang, Yaming& Tang, Chaosheng& Weigang, Li. Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-484935

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-484935