Analysis of Competitive Information Dissemination in Social Network Based on Evolutionary Game Model

Author

Jianye Yu ; Yuanzhuo Wang ; Jingyuan Li ; Huawei Shen ; Xueqi Cheng

Author_Institution

Inst. of Comput. Technol., Beijing, China

fYear

2012

fDate

1-3 Nov. 2012

Firstpage

748

Lastpage

753

Abstract

We proposed a game-theoretic model for competitive information dissemination in social network. A model is presented to understand human impacts on competitive information dissemination that is described as a utility function that involves several factors shaping human behaviors, such as knowledge, interest, memory, and willingness to learn. The dissemination of information is modeled as the dynamic of a coordination game in which players´ payoff is defined by a utility function. We analyzed several cases and showed that the speed of spreading is influenced by characteristics of individuals.

Keywords

game theory; information management; social networking (online); competitive information dissemination; coordination game; evolutionary game model; game theoretic model; human behavior; interest factor; knowledge factor; memory factor; social network; spreading speed; utility function; willingness-to-learn factor; Analytical models; Biological system modeling; Computational modeling; Convergence; Games; Noise measurement; Social network services; Markov chain; competitive information dissemination; evolutionary game model; noisy best response dynamic;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud and Green Computing (CGC), 2012 Second International Conference on

Conference_Location

Xiangtan

Print_ISBN

978-1-4673-3027-5

Type

conf

DOI

10.1109/CGC.2012.126

Filename

6382900