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Deep Analytics in Sport Community Forums
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Author(s): Dušan Fister (University of Maribor, Maribor, Slovenia), Iztok Fister (Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia)and Iztok Fister Jr. (Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia)
Copyright: 2021
Pages: 21
Source title:
Research Anthology on Business Strategies, Health Factors, and Ethical Implications in Sports and eSports
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-7707-3.ch020
PurchaseView on the publisher's website for pricing and purchasing information.
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Abstract
In recent years, some sport clubs have adopted web forums for online discussions about planning training sessions, races, club problems, sponsors and supporters, equipment and so on. Mostly, these forums are closed, because some discussions about critical information must be permitted only to registered club members. Indeed, various members are connected into a network representing a forum community that participates in forming the internal structure of a club and has taken an increasingly important role in solving the club affairs. This has influenced the classic way of doing business with meetings or calls and has allowed the community to participate in forming plans. This article deals with the deep analytics of data acquired from a web forum of a small cycling club located in Slovenia for a period of five years. The purpose of these analyses is to identify various members of the forum's community, track the dynamics of events as found in this forum, and search for hidden relationships.
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