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Interaction networks and patterns of guild community in massively multiplayer online games

Ang, Chee Siang (2011) Interaction networks and patterns of guild community in massively multiplayer online games. Social Network Analysis and Mining, 1 (4). pp. 341-353. ISSN 1869-5450. (doi:10.1007/s13278-011-0025-9) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/s13278-011-0025-9

Abstract

In this study, we adopted the social network analysis (SNA) approach and applied it to massively multiplayer online games studies. Virtual participant observation was carried out through which we identified seven types of interaction (grouped into task and social orientated interaction categories) using thematic analysis and recorded “who-talk-to-whom” relationships for each of these seven interaction types. The first part of the study was conducted to explore descriptively the patterns of user interaction. It was followed by a detailed study to look into these issues using SNA statistical techniques known as P* modeling. We found that task interactions were more unequal and expansive while social interactions were more densely knitted, resulting in horizontal and cohesive group formation. The studies also demonstrated the benefits of combining SNA and qualitative methods.

Item Type: Article
DOI/Identification number: 10.1007/s13278-011-0025-9
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Digital Media
Depositing User: Tina Thompson
Date Deposited: 28 Oct 2013 12:40 UTC
Last Modified: 06 Feb 2020 04:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35703 (The current URI for this page, for reference purposes)
Ang, Chee Siang: https://orcid.org/0000-0002-1109-9689
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