University of Oulu

M. Eteläperä and M. Oussalah, "Exploration of Quantitative Factors Affecting the Popularity of Users in an Online Community," 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), Xiamen, China, 2019, pp. 1635-1640, https://doi.org/10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00241

Exploration of quantitative factors affecting the popularity of users in an online community

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Author: Eteläperä, Matti1,2; Oussalah, Mourad1
Organizations: 1CMVS, Faculty of Information Technology, University of Oulu, Oulu, Finland
2Pepron Software Services, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202003319863
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-03-31
Description:

Abstract

Online communities for discussing different topics have been around since the dawn of the Internet. Whether an individual user is popular or not in the community is highly subjective and difficult to measure with a quantitative approach. In this paper we explore factors and usage patterns on a Finnish football related online community FutisForum2 for receiving votes in a yearly voting for Forum User of the Year. Several quantitative factors are identified in order to calculate correlations between each factor and the yearly voting results. These factors include yearly message network centrality figures, number of message, user quote amounts, number of characters in messages, etc. Although message amounts clearly correlate with the voting results, the strongest correlation was noticed when comparing eigenvector centrality to the voting results. The main outcome of the project was also generation of a database of 11 million messages for further research.

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ISBN: 978-1-7281-4328-6
ISBN Print: 978-1-7281-4329-3
Pages: 1635 - 1640
DOI: 10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00241
OADOI: https://oadoi.org/10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00241
Host publication: 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). 16-18 Dec 2019, Xiamen, China
Conference: IEEE International Conference on Social Computing and Networking
Type of Publication: A4 Article in conference proceedings
Field of Science: 114 Physical sciences
Subjects:
NLP
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