University of Illinois Urbana-Champaign

Leveraging the power of social reading and big data: an analysis of co-read clusters of books on Goodreads

Ridenour, Laura; Jeong, Wooseob

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https://hdl.handle.net/2142/89314

Description

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
Issue Date
2016-03-15
Keyword(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.
Publisher
iSchools
Series/Report Name or Number
IConference 2016 Proceedings
Type of Resource
text
Language
eng
Permalink
http://hdl.handle.net/2142/89314
DOI
https://doi.org/10.9776/16292
Copyright and License Information
Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

Owning Collections

iConference 2016 Papers PRIMARY