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Bibliography-Based social network analysis and geo-location map of gamification
 

Bibliography-Based social network analysis and geo-location map of gamification

B Zhang Xiaozhou Li
14th European Conference on Games Based Learning (ECGBL 2020), pp.684-692
Proceedings of the European Conference on Games-Based Learning
European Conference on Games Based Learning (Brighton, 24/09/2020–25/09/2020)
2020
:
https://hdl.handle.net/10863/52187
Gamification Geo-location Social network analysis Machine Learning
The identification of novel scientific collaborators is vitally significant in the growth of academia. The services of Social Network Analysis (SNA) support the recognition of potential collaborators to cultivate novel academic collaborations. This research provides bibliography-based social network analysis in the domain of Gamification. And real-world geographic map is provided to visualize the geolocation locations of academic collaborations. The purpose of this research is to explore the collaboration networks in academic publications from Scopus database. Social Network Analysis is used in this research to de-compose the academic network for advancing world-wide cooperation in gamification. Eight major communities are detected within the academic network. Additionally, the summary of the publication keywords towards the target communities illustrate different research interests of communities.

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url
http://www.scopus.com/inward/record.url?eid=2-s2.0-85096670447&partnerID=MN8TOARS
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