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New Technology of Library and Information Service  2016, Vol. 32 Issue (1): 55-64    DOI: 10.11925/infotech.1003-3513.2016.01.09
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Link Prediction Analysis of Internet Public Opinion Transfer from the Individual Perspective
Jing Wei1(),Hengmin Zhu1,Ruixiao Song2,Shibing Jiang3
1 School of Management, Nanjing University of Posts & Telecommunications, Nanjing 210023, China
2College of Economic and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
3Department of Management, Brock University, St. Catharines L2S 3A1, Canada
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[Objective] This paper establishes the BA network model of public opinion transfer process, regarding “Bandwagon Effect” and “Threshold Effect” as a starting point and according to the special inspection of public opinion. [Methods] At the same time, collect the real online data of public opinion transfer network. This paper uses the link prediction method to predict the unknown links of public opinion nodes which will appear in the forthcoming transfer process of both simulation BA network data and real public opinion data. [Resualts]The analysis results show that among many similarity indices algorithms LP link prediction algorithm can get the best prediction. It means that LP link prediction algorithm is suitable for the link prediction in such public opinion delivery network. [Limitations] There is no improvement of link predict similarity index. [Conclutions] From the point of data view, this paper proposes an effective prediction method of public opinion trends analysis to provide the theoretical support for the network of public opinion control.

Key wordsLink prediction      Individual of public opinion transfer      BA network      BBS network     
Received: 17 July 2015      Published: 04 February 2016

Cite this article:

Jing Wei,Hengmin Zhu,Ruixiao Song,Shibing Jiang. Link Prediction Analysis of Internet Public Opinion Transfer from the Individual Perspective. New Technology of Library and Information Service, 2016, 32(1): 55-64.

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