Paper Info
Title
The Estimation of aNobii Users' Reading Diversity Using Book Co-ownership Data: A Social Analytical Approach
Abstract
Usage data available through social media provides a great many opportunities to capture users' preference. Using books saved in users' online bookshelves, the study set out to explore social network analytical methods to capture the diversity of a reader's reading interests. \"Reading diversity\" denotes how widely scattered one's reading interests are. Drawing data from aNobii, a social networking site for booklovers, users' reading diversity was defined by the number of components created by the book co-ownership network of the books in their bookshelves. Five book-book similarity measures were proposed and their clustering results were tested against users' self-assessed reading diversity in order to identify the best suited similarity measure and threshold for such a task. One of the proposed similar measures produce a clustering results that is significantly correlated with users' self-assessed diversity. Furthermore, a multiple regression analysis showed that the proposed measure was able to provide explanatory power for reading diversity over and above mere counting the number of books in the bookshelf.
Year
DOI
Venue
2013
10.1007/978-3-319-03260-3_24
SocInfo
Keywords
Field
DocType
book co-ownership network,preference structure,social network analysis
Data mining,World Wide Web,Social media,Social network,Similarity measure,Computer science,Regression analysis,Social network analysis,Explanatory power,Cluster analysis,Usage data
Conference
Citations 
PageRank 
References 
1
0.36
7
Authors
3
Name
Order
Citations
PageRank
Muh-Chyun Tang1827.61
Yi-Ling Ke210.36
Yi-Jin Sie351.13