Identifying influential users of micro-blogging services : a dynamic action-based network approach

Zhang, Meng, Sun, Caihong, & Liu, Wenhui (2011) Identifying influential users of micro-blogging services : a dynamic action-based network approach. In Pacific Asia Conference on Information Systems (PACIS) 2011 Proceedings, Queensland University of Technology, Brisbane, Australia, Paper 223.

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Abstract

In this paper, we present a dynamic model to identify influential users of micro-blogging services. Micro-blogging services, such as Twitter, allow their users (twitterers) to publish tweets and choose to follow other users to receive tweets. Previous work on user influence on Twitter, concerns more on following link structure and the contents user published, seldom emphasizes the importance of interactions among users. We argue that, by emphasizing on user actions in micro-blogging platform, user influence could be measured more accurately. Since micro-blogging is a powerful social media and communication platform, identifying influential users according to user interactions has more practical meanings, e.g., advertisers may concern how many actions – buying, in this scenario – the influential users could initiate rather than how many advertisements they spread. By introducing the idea of PageRank algorithm, innovatively, we propose our model using action-based network which could capture the ability of influential users when they interacting with micro-blogging platform. Taking the evolving prosperity of micro-blogging into consideration, we extend our actionbaseduser influence model into a dynamic one, which could distinguish influential users in different time periods. Simulation results demonstrate that our models could support and give reasonable explanations for the scenarios that we considered.

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ID Code: 79289
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: User Influence, Micro-blogging platform, Action-based Network, Dynamic Model
ISBN: 9781864356441
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Past > Schools > School of Information Systems
Copyright Owner: Copyright 2011 [please consult the authors]
Deposited On: 07 Dec 2014 23:11
Last Modified: 15 Dec 2014 05:30

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