A Social Choice Theoretic Approach for Analyzing User Behavior in Online Streaming Mobile Applications View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-08-21

AUTHORS

Neetu Raveendran , Kaigui Bian , Lingyang Song , Zhu Han

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. More... »

PAGES

143-151

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-93058-9_10

DOI

http://dx.doi.org/10.1007/978-3-319-93058-9_10

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106254256


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