How we view competitions between the converging Internet social platforms: Does higher user number mean the final victory?

Tao Fu (), Chenguang Li, Liping Guo and Yanni Wang
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Tao Fu: Experimental School, Beijing University of Technology, Luyuannandajie 89, Beijing 101101, P. R. China
Chenguang Li: Economics and Management School, North China University of Technology, Jiyuanzhuanglu 5, Beijing 100144, P. R. China
Liping Guo: Experimental School, Beijing University of Technology, Luyuannandajie 89, Beijing 101101, P. R. China
Yanni Wang: Beijing Hospitality Institute, Beijing International Studies University, Tianyuanlu 11, Beijing 102601, P. R. China

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 08, 1-16

Abstract: We propose a special opinion model on Internet users' social platform selections where users only view those converging platforms as tools to maintain their communications with all of their friends or partners and one may use more than one platform at the same time. We construct the time evolution differential equations, seek the fixed points, and study their attractability and repellency by analyzing those equations. Then, we verify the analytical results and observe their accuracy by numerical simulation. The conclusion shows that in any practical system described by our model, one platform will completely eliminate its competitor sooner or later, and when the average degree of the interaction network is relatively low, the laggard may have more chance to turn the tide, but when that average degree is high, that chance is extremely limited.

Keywords: Social dynamics; network evolution; opinion model; bifurcation; P89.75.Hc; 87.23.Ge; 89.20.Hh (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183115500849

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