Journal of Data Analysis and Information Processing

Volume 8, Issue 4 (November 2020)

ISSN Print: 2327-7211   ISSN Online: 2327-7203

Google-based Impact Factor: 1.33  Citations  

Bayesian Network Model of Product Information Diffusion and Reasoning of Influence

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DOI: 10.4236/jdaip.2020.84015    46 Downloads   143 Views  


Information diffusion on social media has become a key strategy in people’s daily interactions. This paper studies consumers’ participation in the product information diffusion, and analyzes the complexity of information diffusion which is affected by many factors. Prior investigations of information diffusion have primarily focused on the composition of diffusion networks with independent factors and the intricacy of the process has not been completely evaluated. The majority of prior investigations have focused on strategies and the moving forces in social media processes and the determination of influential seed nodes, with few evaluations conducted about the factors affecting consumers’ choices in information diffusion. In this study, a Bayesian network model of product information diffusion was created to examine the links between factors and consumer deportment. It revealed how those factors had an impact on each other and on consumer deportment choice. The innovation of the thesis is reflected in the exploration and analysis of the specific communication path of product information diffusion, which provides a better marketing idea and practical method for the development of mobile e-commerce. The research findings can help identify the quantitative relationships between the factors affecting the process of product information diffusion and user behavior.

Cite this paper

Sun, X. , Hou, S. , Cai, N. , Ma, W. and Zhao, S. (2020) Bayesian Network Model of Product Information Diffusion and Reasoning of Influence. Journal of Data Analysis and Information Processing, 8, 267-281. doi: 10.4236/jdaip.2020.84015.

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