Inferring Shared Interests from Social Networks
نویسنده
چکیده
Many online community platforms such as LibraryThing, last.fm, flickr, and CiteULike store data about users, friend relationships between users, and for each user a list of items he interacted with. Depending on the usage scenario, items may be books, songs, pictures, or scientific publications, respectively. In social network analysis it is widely assumed that people tend to gather in groups of shared interests, where such interests drive friendships and vice versa. The same assumption is made in citation networks. Citation networks are directed and acyclic, where social networks are symmetric and have small diameter.
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