Impact of Attractiveness and Influence of Information on Cascade Size Distribution

Authors

Dong Jian, National University of Defense Technology, Changsha 410073, China;
Bin Chen, National University of Defense Technology, Changsha 410073, China;
Liu Liang, National University of Defense Technology, Changsha 410073, China;
Chuan Ai, National University of Defense Technology, Changsha 410073, China;
Zhang Fang, National University of Defense Technology, Changsha 410073, China;
Xiaogang Qiu, National University of Defense Technology, Changsha 410073, China;

Abstract

Abstract: The distribution of the cascade size can capture the distribution of popularity of a social network. Numerous studies have shown that the cascade size distribution follows fat-tail distributions, including power-law distribution and bimodal distribution; The underlying characteristic of this highly skewed distribution lacks quantitative experimental analysis. Based on the heterogeneous stochastic information dissemination model, namely the SVRF model, this paper examines the impact of the information attractiveness and influence on the cascade size distribution through lots of computational experiments. We find that when the mean value of the information influence and attractiveness is small, the cascade sizes follow a power-law distribution, and the larger the variance, the heavier the tail. Our findings quantitatively clarify the role of information attractiveness and influence on the distribution of popularity in social networks. The attractive and influential information is more likely to spread widely in social networks.

Recommended Citation

Jian, Dong; Chen, Bin; Liang, Liu; Ai, Chuan; Fang, Zhang; and Qiu, Xiaogang (2019) "Impact of Attractiveness and Influence of Information on Cascade Size Distribution," Journal of System Simulation: Vol. 30: Iss. 10, Article 4.
DOI: 10.16182/j.issn1004731x.joss.201810004
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/4

First Page

3624

Revised Date

2018-09-13

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201810004

Last Page

3631

CLC

TP391.9

Recommended Citation

Dong Jian, Chen Bin, Liu Liang, Ai Chuan, Zhang Fang, Qiu Xiaogang. Impact of Attractiveness and Influence of Information on Cascade Size Distribution[J]. Journal of System Simulation, 2018, 30(10): 3624-3631.

DOI

10.16182/j.issn1004731x.joss.201810004