Integrating Social Network Data for Empowering Collaborative Systems

Abstract

Over the past years, online social networks with websites such as Facebook, Twitter or LinkedIn, have become a very important part of our everyday life. These websites are increasingly used for creating, publishing and sharing information by users. This creates a huge amount of information a part of which may match the interests of a given group. However the distributed and protected nature of these information make it di cult for retrieving. In this paper, we present a user-centered approach for aggregating social data of members of a group to promote the collaboration and the sharing of knowledge inside collaborative systems. The members will be able to delegate the proposed system to aggregate their di erent social pro les and to make available the relevant part of information to other member of the group

Quantifying cross-platform engagement through large-scale user alignment

“…For instance, Abisheva et al [1] combined user data from Twitter and YouTube to provide a descriptive analysis of the demographics and behavioral features on the two online communities. Vu et al [7] proposed a general and extensive system architecture for aggregating and integrating users' social profiles into collaborative systems. Tiroshi et al [6] modeled online users based on features extracted from different social media sites.…”