Open AccessMethod of social network analysis and visualisation based on reviews
Author(s) -
Xu Xiaowei,
Liu Wei,
Tao Ye,
Wang Xiaodong,
Wu Jilong
Publication year - 2020
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.1161
Subject(s) - computer science , database transaction , visualization , cluster analysis , social network (sociolinguistics) , perspective (graphical) , macro , data mining , social network analysis , data science , world wide web , artificial intelligence , database , social media , programming language
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.