Next Article in Journal
Game of Thrones: Accommodating Monetary Policies in a Monetary Union
Previous Article in Journal
Linear–Quadratic Mean-Field-Type Games: A Direct Method
Article Menu

Export Article

Open AccessArticle
Games 2018, 9(1), 8; doi:10.3390/g9010008

A Game-Theoretic Approach for Modeling Competitive Diffusion over Social Networks

Department of Applied Mathematics, Shahed University, Tehran, Iran
Author to whom correspondence should be addressed.
Received: 26 October 2017 / Revised: 18 January 2018 / Accepted: 23 January 2018 / Published: 13 February 2018
(This article belongs to the Special Issue Applications of Game Theory to Networks)
View Full-Text   |   Download PDF [290 KB, uploaded 13 February 2018]


In this paper, we consider a novel game theory model for the competitive influence maximization problem. We model this problem as a simultaneous non-cooperative game with complete information and rational players, where there are at least two players who are supposed to be out of the network and are trying to institutionalize their options in the social network; that is, the objective of players is to maximize the spread of a desired opinion rather than the number of infected nodes. In the proposed model, we extend both the Linear Threshold model and the Independent Cascade model. We study an influence maximization model in which users’ heterogeneity, information content, and network structure are considered. Contrary to previous studies, in the proposed game, players find not only the most influential initial nodes but also the best information content. The proposed novel game was implemented on a real data set where individuals have different tendencies toward the players’ options that change over time because of gaining influence from their neighbors and the information content they receive. This means that information content, the topology of the graph, and the individual’s initial tendency significantly affect the diffusion process. The proposed game is solved and the Nash equilibrium is determined for a real data set. Lastly, the numerical results obtained from the proposed model were compared with some well-known models previously reported in the literature. View Full-Text
Keywords: social network; game theory; information diffusion; Nash equilibrium; influence maximization problem social network; game theory; information diffusion; Nash equilibrium; influence maximization problem
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Jafari, S.; Navidi, H. A Game-Theoretic Approach for Modeling Competitive Diffusion over Social Networks. Games 2018, 9, 8.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Games EISSN 2073-4336 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top