Document Type : Original Article
Author
Faculty member, Scientometrics department, National research institute for science policy (NRISP)
Abstract
Objective: Communication between community components and academia has always been of interest. Identify this interaction; it is conceivable to evaluate the impact of academia researches on distinct components of society (like government, people, industry), and Triple Helix is one of the leading models in this regard. Due to the growing presence of users in social networks, as well as the possibility of monitoring their web metrics like the number of likes, visits, sharing, bookmarks, comments, hashtags,,etc., the present study attempted to distinguish the capacity of social networks to explore the interaction between society components and the academia based on the Triple Helix model. To Better understand these capacities, evidences for COVID19 researches on social media were provided.
Method: This is desk research using an evidence-based approach.
Findings and Conclusions: According to Helix models, social networks have outstanding potential in discovering the abovementioned sectors of the society, especially understanding web-based communications. However, in such analyzes, it is crucial to consider dimensions of web metrics according to users' level, timing, thematic context, normalization, experts in a specific field, etc., to present accurate and realtime data to policymakers in science, technology, and innovation. Regarding the capabilities provided in this article, there are considerations in interpreting Weber's metrics that are presented in this work.
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