@inproceedings{7a51f09dffea4d2ca653251ae5904888,
title = "Bibliography-Based social network analysis and geo-location map of gamification",
abstract = "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.",
keywords = "Gamification, Geo-location, Machine Learning, Social Network Analysis",
author = "Boyang Zhang and Xiaozhou Li",
note = "JUFOID=71912 Publisher Copyright: {\textcopyright} 2020 Dechema e.V.. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; European Conference on Game Based Learning ; Conference date: 24-09-2020 Through 25-09-2020",
year = "2020",
doi = "10.34190/GBL.20.138",
language = "English",
isbn = "978-1-912764-71-6",
series = "Proceedings of the European Conference on Games-based Learning",
publisher = "Academic Conferences and Publishing International Limited",
pages = "684--692",
editor = "Panagiotis Fotaris",
booktitle = "Proceedings of the 14th European Conference on Game Based Learning, ECGBL 2020",
}