A novel influence diffusion model under temporal and content constraints on Business Social Network

2022 ◽  
pp. 101768
Author(s):  
Vincenzo Moscato ◽  
Giancarlo Sperlì
Keyword(s):  
Social Network ◽  
Diffusion Model ◽  
Influence Diffusion

scholarly journals Influence Diffusion Model in Multiplex Networks

2020 ◽  
Vol 64 (1) ◽  
pp. 345-358
Author(s):  
Senbo Chen ◽  
Wenan Tan
Keyword(s):  
Diffusion Model ◽  
Multiplex Networks ◽  
Influence Diffusion

scholarly journals Modelling the Diffusion of Investment Decisions on Modular Social Networks

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Xiaokang Cheng ◽  
Narisa Zhao
Keyword(s):  
Social Networks ◽  
Community Structure ◽  
Social Network ◽  
Diffusion Model ◽  
Financial Market ◽  
Negative Impact ◽  
Investment Decisions ◽  
Negative Influence ◽  
Clustering Coefficient ◽  
The Impact

In the financial market, information and investment behaviors disseminate in investor social networks, and different contagion patterns may cause diverse investment trends. Prior studies have investigated the impact of investor social networks, but few have considered community structure. In this paper, we study the impact of the community structure of investor social networks on the diffusion of internet investment products. A two-stage diffusion model is proposed, and the clustering coefficient and modularity of an investor social network are considered. The results show that both modularity and the clustering coefficient have an impact on the diffusion velocity and scale and that the impact is most evident at the stage of explosive growth. The negative influence of a large modularity can be hardly mitigated by adjusting other factors. Furthermore, a decrease in modularity and an increase in the clustering coefficient can better facilitate diffusion when the temporary investment rate is high and can partly offset the negative impact of information discarding and divestment.

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