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Using Social Network Analysis to predict online contributions: The impact of network diversity in cross-cultural collaboration

Mittelmeier, Jenna; Héliot, YingFei; Rienties, Bart and Whitelock, Denise (2016). Using Social Network Analysis to predict online contributions: The impact of network diversity in cross-cultural collaboration. In: WebSci '16 Proceedings of the 8th ACM Conference on Web Science, ACM, New York, pp. 269–273.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1145/2908131.2908169
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Abstract

Although collaborative web-based tools are often used in blended environments such as education, little research has analysed the predictive power of face-to-face social connections on measurable user behaviours in online collaboration, particularly in diverse settings. In this paper, we use Social Network Analysis to compare users’ pre-existing social networks with the quantity of their contributions to an online chat-based collaborative activity in a higher education classroom. In addition, we consider whether the amount of diversity present in one’s social network leads to more online contributions in an anonymous cross-cultural collaborative setting. Our findings indicate that pre-existing social connections can predict how much users contribute to online education-related collaborative activities with diverse group members, even more so than academic performance. Furthermore, our findings suggest that future Web Science research should consider how the more traditionally ‘qualitative’ socio-cultural influences affect user participation and use of online collaborative tools.

Item Type: Conference or Workshop Item
Copyright Holders: 2016 ACM
ISBN: 1-4503-4208-6, 978-1-4503-4208-7
Keywords: Social Network Analysis; online collaboration; social networks; group work; cross-cultural collaboration; online contributions
Academic Unit/School: Faculty of Arts and Social Sciences (FASS) > Politics, Philosophy, Economics, Development, Geography > Geography
Faculty of Arts and Social Sciences (FASS) > Politics, Philosophy, Economics, Development, Geography
Faculty of Arts and Social Sciences (FASS)
Learning and Teaching Innovation (LTI) > Institute of Educational Technology (IET)
Learning and Teaching Innovation (LTI)
Research Group: Centre for Research in Education and Educational Technology (CREET)
OpenSpace Research Centre (OSRC)
Item ID: 46221
Depositing User: Jenna Mittelmeier
Date Deposited: 12 May 2016 09:16
Last Modified: 02 May 2018 14:19
URI: http://oro.open.ac.uk/id/eprint/46221
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