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Social network has played a more and more important role in recommender system as users are strongly influenced by their friends. But the friend lists of a user are always hidden for privacy concern. Even her friend lists are accessible, there still exist many potential friends who have similar interest with her but she doesn't know. How to predict the friendship she knows and does not know when the...
Social network analysis refers to the study of structural aspects in networks to understand and interpret social entities and related patterns. This form of research has proven to be very useful in the study of illicit networks. To date, however, large criminal court datasets that include a comprehensive scope of cases have yet to be explored. The current work begins to explore this potential by applying...
In this paper we discuss how the concept of implicit groups is used to build and manage extended user profiles enabling an easier way to supply personalized features and/or information, and guide their dynamic updating. This approach extends the individual user profiles, which are explicitly defined by the user in typical interactive applications and environments, with additional information that...
In this paper we describe the possibility of constructing the well-known small world topology for an ordinary document, based on the actual document structure. Sentences in such a graph are represented by nodes, which are connected if and only if the corresponding sentences are neighbors or share at least one common keyword. This graph is built using a carefully selected one-parameter set of keywords...
A social network is a social structure consisting of individuals or organizations, usually represented by nodes tied by one or more types of interdependency or relationship. This work focuses on using data mining techniques to identify intra and inter organization groups of people with similar profiles that could have relationships amongst them. For this, we construct a multi relational scientific...
A social network is a social structure consisting of individuals or organizations usually represented by nodes tied by one or more types of relationships. The resulting structures are complex and analyzing them enables us to detect several inter and intra connection problems. This work focuses on using data mining techniques to identify intra and inter organization groups of people with similar profiles...
An interesting property of network is that the information is not only contained in the entities, but also in the links between them. As the structure of the co-authorship network can greatly influence its function and reflect how the internal information is exchanged. We attempt to get deep insight of the features in a co-authorship network at a university. This is done by the following two steps...
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