DocumentCode :
2545804
Title :
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
Link To Document :
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