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    Individuals often imitate each other to fall into the typical group, leading to a self-organized state of typical behaviors in a community. In this paper, we model self-organization in social tagging systems and illustrate the underlying interaction and dynamics. Specifically, we introduce a model in which individuals adjust their own tagging tendency to imitate the average tagging tendency. We found that when users are of low confidence, they tend to imitate others and lead to a self-organized state with active tagging. On the other hand, when users are of high confidence and are stubborn to change, tagging becomes inactive. We observe a phase transition at a critical level of user confidence when the system changes from one regime to the other. The distributions of post length obtained from the model are compared to real data, which show good agreement.
    a year ago by @tbalic
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    Social tagging systems have established themselves as an important part in today's web and have attracted the interest of our research community in a variety of investigations. This has led to several assumptions about tagging, such as that tagging systems exhibit a social component. In this work we overcome the previous absence of data for testing such an assumption. We thoroughly study social interaction, leveraging for the first time live log data gathered from the real-world public social tagging system BibSonomy. Our results indicate that sharing of resources constitutes an important and indeed social aspect of tagging.
    a year ago by @tbalic
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    In 2009, Kaite Stover examined the expansion of readercentered social networking sites and what she called “the wild appeal factor” (see “Stalking the Wild Appeal Factor,” Reference & User Services Quarterly 48, no. 3 [Spring 2009]: 243–46). Stover looked at several then-new sites that might be of interest to readers’ advisors, particularly in terms of how readers talk about books and reading in their own words. As Stover pointed out, the conversation about books is taking place on the web in a variety of forms, and as reflective practitioners, we need to be aware of those conversations happening outside the library walls. In this issue’s column, Yesha Naik expands on this discussion by looking at how members of one bibliocentric social networking site, Goodreads.com, talk with each other and the broader reading community about books and reading. Yesha looks at reader discussions of titles in five diverse genres and what we learn from those discussions about reader interests. She then moves from this examination to explore how readers’ advisors might take advantage of this knowledge in their daily practice. Librarianship is Yesha’s third career, but she finds that her previous incarnations as middle school teacher and college admissions counselor have well-prepared her for working as a YA librarian in a bustling neighborhood branch of Brooklyn Public Library. A 2011 graduate of the Queens College GSLIS, her professional fascinations include readers’ advisory, teen and children’s services, diversity in YA literature, and serving immigrant populations in the public library setting.
    a year ago by @tbalic
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