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| Calculation of Author Intimacy Based on Multi-Dimensional Fusion |
| Hou Xiang1,2, Huang Jin3, Sang Jun3, Xia Xiaofeng3 |
1.Journal Department, Chongqing University, Chongqing 400044
2.College of Automation, Chongqing University, Chongqing 400044
3.College of Big Data and Software, Chongqing University, Chongqing 400044 |
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Abstract To facilitate the exchange and accurate promotion of academic achievements between different academic paper authors and research teams, a reasonable and effective academic social network needs to be established. As an author network based on literature citation has not been established in current Chinese academic database platforms for community interaction, this paper uses a CNKI data source, a professor of software engineering and information security in a university, as an example. Further, the literature data of 122 scholars who are the professor A's co-authors or with citation relationships from 2014 to 2020 was used as the research object and a citation network of academic authors constructed. Combined with the characteristics of academic social networking, the authors, papers, and citation data were mined, and four dimensions of the intimacy calculation method based on the co-author, subject topic, sensitivity citation of subject sensitivity, and social graph were used to weight the comprehensive intimacy value among the authors in the network. In the experiment, the author relationship map was established by synthesizing the intimacy value, and the author's intimacy level in the network was obtained. The author's network level (weight) was obtained by multiplying the intimacy value and number of published papers. The authors and research teams with the same research level in the mapped network were found, which laid a good foundation for the data promotion of the academic social network.
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Received: 13 January 2021
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