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| Influencing Mechanisms of Triadic Closure in Pharmaceutical — Opportunity, Trust, and Motivation |
Wu Shengnan1( ),Sun Yidan1,Pu Hongjun1,Dong Jizong1,Gao Jian1,Tian Ruonan2,Li Lin1 |
1Shanxi Medical University School of Management, Taiyuan 030001,China
2Shanxi Medical University School of Humanities and Social Sciences, Taiyuan 030001,China |
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Abstract [Objective] Opportunity, trust, and motivation are the three mechanisms influencing the formation of triadic closure in directed social networks. This paper explores the mechanisms affecting triadic closure in the pharmaceutical domain, aiming to provide foundations for drug knowledge discovery. [Methods] First, we used social network indices to measure the three mechanisms of opportunity, trust, and motivation. Then, we examined the Pearson correlation coefficient between these mechanisms and the triadic closure clustering and their numbers. Third, we introduced additional node attributes, network characteristics, and econometric methods to examine the relationships between node attributes and network characteristics/the three mechanisms. [Results] The node pairs for the opportunity and the clustering coefficient of the edges between them showed a strong positive correlation (r1>0.5). The node pairs for trust and motivation showed a strong positive correlation with the number of enclosed triads they belong to (r3, r5>0.5). The closeness centrality of node pairs negatively impacted the opportunity and trust,but a positive impact on motivation. The betweenness centrality and eigenvector centrality of node pairs positively impacted opportunity, trust, and motivation. The average path length of the network negatively affected the opportunity of node pairs but positively impacted their trust and motivation. [Limitations] More literature needs to be included for empirical analysis in the future. [Conclusions] The proposed method illustrates the circumstances of triadic closure formation for node pairs. Node attributes and network characteristics influence the three mechanisms, which provides a new direction for drug knowledge discovery.
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Received: 25 August 2022
Published: 28 March 2023
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| Fund:National Natural Science Foundation of China(71804102);Program for the Philosophy and Social Sciences Research of Higher Learning Institutions of Shanxi(2019W040);Graduate Education Teaching Reform Classroom of Shanxi(2021YJJG115) |
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Corresponding Authors:
Wu Shengnan，ORCID： 0000-0003-1509-5244， E-mail： vivian_sxmu@163.com。
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Cite this article:
Wu Shengnan, Sun Yidan, Pu Hongjun, Dong Jizong, Gao Jian, Tian Ruonan, Li Lin. Influencing Mechanisms of Triadic Closure in Pharmaceutical — Opportunity, Trust, and Motivation. Data Analysis and Knowledge Discovery, 2023, 7(10): 37-49.
URL:
https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2022.0895 OR https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2023/V7/I10/37
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