The Estimation of aNobii User Reading Diversity Using Book Co-ownership Network

Autor: Yi-Ling Ke, 柯逸凌
Rok vydání: 2013
Druh dokumentu: 學位論文 ; thesis
Popis: 101
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 from 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. A total of 50 user’s bookshelf data were collected, resulting in a total of 21,199 distinctive books. They were also asked to fill out a questionnaire designed to elicit three dimensions of their preference: “reading diversity”, “preference insight” and “involvement.” Networks of the books were created where each node represented a book and the strength of their linkages were determined by five co-ownership based similarity measures: cosine, correlation coefficient, “normalized interaction”, and “intersection-minus-1.” The thresholds for the dichotomization of the five respective similarity measures were then determined by a level above which where the greatest percentage of the disappearance of the edges, which were then applied to the individual bookshelves so the number of the components in each bookshelf could be determined. Correlation analyses were then performed between the user’s self-assessed reading diversity and the number of the components in her/his bookshelf. One of the proposed similar measures, “intersection-minus-1” produced a clustering result that was significantly correlated with users’ self-assessed diversity. Furthermore, multiple repression analysis showed the proposed measure was able to provide explanatory power over and above mere counting the number of books in the bookshelf.
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