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Title:
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RELATIONSHIP STRENGTH ESTIMATION IN SOCIAL MEDIA USING FOLKSONOMY |
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Author(s):
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Hidekazu Yanagimoto, Michifumi Yoshioka |
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ISBN:
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978-972-8939-68-7 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Social media, Graph representation, Folksonomy, Bayes theorem |
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Type:
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Full Paper |
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First Page:
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3 |
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Last Page:
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10 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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We propose relationship strength in social media using folksonomy. We concretely estimate similarity between web pages in social bookmarking services using a tag vocabulary. A social bookmarking service is one of the most famous social media on the Internet. Since the web pages are selected according to users' interests but not their contents, in the services they are classified in the different way. In this paper we focus relationship strength estimation among web pages using a tag vocabulary. Avoiding a problem that tags includes some ambiguities, a similarity between web pages is defined in each user at first. The similarities are integrated over all users regarding the frequency of evaluation and a variance of the similarities. At last social bookmarking data are represented as a weighted network and it is easy to capture the relationships among all web pages registered in a social bookmarking service. To evaluate our proposed approach we carry out some experiments using real social bookmarking service, Buzzurl social bookmarking service, and confirm the proposed approach is superior to some comparative approaches. |
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