The Estimation of aNobii Users’ Reading Diversity Using Book Co-ownership Data: A Social Analytical Approach
| Autor: | Yi-Ling Ke, Muh-Chyun Tang, Yi-Jin Sie |
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| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319032597 SocInfo |
| DOI: | 10.1007/978-3-319-03260-3_24 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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