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| Studying Opinion Leaders with Network Analysis and Text Mining |
Sun Yu,Qiu Jiangnan( ) |
| School of Economics and Management, Dalian University of Technology, Dalian 116000, China |
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Abstract [Objective] This paper tries to study the classification scheme for opinion leaders and evaluate their characteristics from multiple perspectives. [Methods] We proposed a method to classify opinion leaders by community division. Then, we comprehensively analyzed their influences from the dimensions of network diffusion ability and emotional dominance. We conducted an empirical analysis with Twitter data, and compared the influence of different types of opinion leaders through network analysis and text mining. [Results] Opinion leaders are identified as three communities, which rank differently in network diffusion ability and emotional dominance. The two dimensions show no correlation with an absolute value of correlation coefficient less than 0.3. Compared with the traditional weighted summing method, the two-dimensional matrix analysis can reflect the influence characteristics more comprehensively. [Limitations] In the evaluation of emotional influence, we only analyzed the original texts, and future studies will include the comments. [Conclusions] The proposed methods could analyze the degrees and characteristics of the opinion leaders' influence. It helps us understand all kinds of opinion leaders and guide the public opinion directions more effectively in risk management.
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Received: 26 April 2021
Published: 22 February 2022
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| Fund:Social Science Program Foundation of Liaoning Province(L19BGL001) |
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Corresponding Authors:
Qiu Jiangnan，ORCID：0000-0001-5320-8479
E-mail: qiujiangnan@gmail.com
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