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Types of Nodes and Centrality Measures in Networks Read chapter Read first chapter

2019 | OriginalPaper | Chapter

10. A Social Choice Theoretic Approach for Analyzing User Behavior in Online Streaming Mobile Applications

Authors : Neetu Raveendran, Kaigui Bian, Lingyang Song, Zhu Han

Published in: Game Theory for Networking Applications

Publisher: Springer International Publishing

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Abstract

Online live streaming enables people to communicate with popular influencers from around the world. Nowadays, social media is an integral part of our lives, and this demands a thorough analysis of such platforms. These live streaming applications have tremendous user bases, and learning the user behavior in such scenarios can be very insightful. Here, there is a great need to aggregate the individual preferences of the users into a single group preference. Social choice theory finds a considerable application here, being a framework for group decision making. In this paper, we examine the attributes of online live streaming applications utilizing the concepts of the social choice model. We perform analysis of a real-time dataset obtained from a live streaming platform and further validate the results using an Integer Linear Programming model. The analysis results clearly demonstrate the effectiveness of social choice in representing the user behavior in online live streaming applications.

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previous chapter Fault-Tolerant Hotelling Games
next chapter Social Coordination and Network Formation with Heterogeneous Constraints
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Metadata
Title
A Social Choice Theoretic Approach for Analyzing User Behavior in Online Streaming Mobile Applications
Authors
Neetu Raveendran
Kaigui Bian
Lingyang Song
Zhu Han
Copyright Year
2019
Book
Game Theory for Networking Applications

Print ISBN: 978-3-319-93057-2

Electronic ISBN: 978-3-319-93058-9

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-93058-9_10