Method of social network analysis and visualisation based on reviews

Xu, Xiaowei ¹Liu, Wei ¹Tao, Ye ²Wang, Xiaodong ¹Wu, Jilong¹

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作者信息

1. Ocean Univ China, Dept Comp & Technol, Qingdao, Peoples R China
2. Qingdao Univ Sci & Technol, Sch Informat Sci & Technol, Qingdao, Peoples R China
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Abstract

With the development of e-commerce platforms, the huge amount of transaction volume produces a lot of commentary information. To study the relationship between users and user comments and corresponding products, a social network analysis method based on user comments is proposed. The authors regard the network connection between goods and user comments as a problem on the network and use the spectral clustering algorithm to maintain the structural characteristics of the network. This method can visualise the network structure features such as user clustering and distribution, which can help to understand the network from a macro perspective and be directly applied to the visualisation of other comment-based networks. It is significant for analysing the relationship between users and user comments and corresponding products. The comparative visualisation experiments are also discussed, to validate the effectiveness of the proposed method.

Key words

data visualisation/social networking (online)/electronic commerce/pattern clustering/user comments/corresponding products/social network analysis method/network connection/network structure features/user clustering/comment-based networks

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出版年

2020

The Journal of Engineering

ISSN：

参考文献量11

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