The rapid growth of Geo-Social Networks (GeoSNs) provides a new and rich form of data. Users of GeoSNs can capture their geographic locations and share them with other users via an operation named checkin. Thus, GeoSNs can track the connections (and the time of these connections) of geographic data to their users. In addition, the users are organized in a social network, which can be extended t...

In recent years, our research group has been investigating the use of computing technology to support noviceoriented computer-based musical activities. CODES (Cooperative Music Prototyping Design) is a Web-based environment designed to allow novice users to create musical prototypes through combining basic sound patterns. This paper shows how CODES has been changed to provide support to some co...

Destiny is a hybrid online shooter game which shares features with Massively Multi-Player Online Games and FirstPerson Shooters, and is the to date the most expensive digital game produced. It has attracted millions of players to compete or collaborate within a persistent online virtual environment. In multi-player online games, the interaction between the players and the social community that ...

We built a framework for analyzing the contents of large social networks, based on the approximate counting technique developed by Gonen and Shavitt. Our toolbox was used on data from a large forum— boards.ie—the most prominent community website in Ireland. For the purpose of this experiment, we were granted access to 10 years of forum data. This is the first time the approximate counting techn...

which to build inclusive and exclusive social networks determined by the different expectations and preferences of their users. Social networks are generated using a selforganizing map to cluster the decision makers (DMs) by their friendship acceptance behavior. We analyze the effects on the cluster structure of the resulting social network that follow from modifying the distribution of request...

People regularly attend various social events to interact with other community members. For example, researchers attend conferences to present their work and to network with other researchers. In this paper, we propose an Event-based COmmunity DEtection algorithm ECODE to mine the underlying community substructures of social networks from event information. Unlike conventional approaches, ECODE...

Community detection is one of the major tasks in social networks. The success of any community depends upon the features that were selected to form the community. So it is important to have the knowledge of the main features that may affect the community. In this work we have proposed a method to find prominent features based on which community can be formed. Ontology has been used for the said...

With the increasingly ubiquitous nature of social networks and Cloud computing, users are starting to explore new ways to interact with and exploit these developing paradigms. Social networks reflect real world relationships that allow users to share information and form connections, essentially creating dynamic virtual communities. By leveraging the pre-established trust formed through friend ...