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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
     
      self_organizationsocial_taggingtaggingtagging_systems
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      Purpose - Most studies pertaining to social tagging focus on one platform or platform type, thus limiting the scope of their findings. The purpose of this paper is to explore social tagging practices across four platforms in relation to cultural products associated with the book Casino Royale, by Ian Fleming. Design/methodology/approach - A layered and nested case study approach was used to analyse data from four online platforms: Goodreads, Last.fm, WordPress, and public library social discovery platforms. The top-level case study focuses on the book Casino Royale, by Ian Fleming and its derivative products. The analysis of tagging practices in each of the four online platforms is nested within the top-level case study. Casino Royale was conceptualized as a cultural product (the book), its derived products (e.g. movies, theme songs), as well as a keyword in blogs. A qualitative, inductive, and context-specific approach was chosen to identify commonalities in tagging practices across platforms whilst taking into account the uniqueness of each platform. Findings - The four platforms comprise different communities of users, each platform with its own cultural norms and tagging practices. Traditional access points in the library catalogues focused on the subject, location, and fictitious characters of the book. User-generated content across the four platforms emphasized historical events and periods related to the book, and highlighted more subjective access points, such as recommendations, tone, mood, reaction, and reading experience. Revealing shifts occur in the tags between the original book and its cultural derivatives: Goodreads and library catalogues focus almost exclusively on the book, while Last. fm and WordPress make in addition cross-references to a wider range of different cultural products, including books, movies, and music. The analyses also yield apparent similarities in certain platforms, such as recurring terms, phrasing and composite or multifaceted tags, as well as a strong presence of genre-related terms for the book and music. Originality/value - The layered and nested case study approach presents a more comprehensive theoretical viewpoint and methodological framework by which to explore the study of user-generated metadata pertaining to a range of related cultural products across a variety of online platforms.
      a year ago by @evangelineamari
       
        Goodreadsonlineplatformssocialtagging
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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
         
          Goodreadsreaderssocial_taggingtagging
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          a year ago by @aloncare
           
            socialtagging
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            U ovom radu pomno ispituju svojstva tipičnog društvenog označavanje i označavanje skupa podataka, kako bi se dobili uvidi za olakšavanje stvaranje modela za takve podatke.
            a year ago by @andrijas
             
              bookmarkingnetworksocialtagging
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            publications  2819