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Title:Leveraging the power of social reading and big data: an analysis of co-read clusters of books on Goodreads
Author(s):Ridenour, Laura; Jeong, Wooseob
Subject(s):readers’ advisory
bibliometric coupling
big data
informetrics
Abstract:Readers’ advisory services must keep up with ever-increasing numbers of published titles. We explore a method to identify potentially appealing book recommendations based on the use of bibliographic coupling from data gathered from the social reading site, Goodreads. In this case, books are considered to be similar in appeal to other books read by a user if a co-read pair of books occurs. Co-read book pairs were processed and rendered visually in Gephi, creating two visualizations: one with extremely popular titles, and one without. This method has the potential to augment traditional readers’ advisory services by leveraging readily available big data and open source software.
Issue Date:2016-03-15
Publisher:iSchools
Citation Info:NA
Series/Report:IConference 2016 Proceedings
Genre:Conference Paper / Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/89314
DOI:10.9776/16292
Rights Information:Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2016-03-08


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