Leveraging Social Change Through Collective Purchasing

Modeling and Leveraging Social Collective Intelligence

The rise of social interactions on the Web requires developing new methods of information organization and discovery. To that end, we propose a generative community-based probabilistic tagging model that can automatically uncover communities of users and their associated tags. We experimentally validate the quality of the discovered communities over the social bookmarking system Delicious. In c...

Social Media in Organizations: Leveraging Personal and Collective Knowledge Processes

Leveraging Collective Intelligence through Community Detection in Tag Networks

The paper studies the problem of community detection in tag networks, i.e. networks consisting of associations between tags that are used within Social Tagging Systems (STS) to annotate online resources (e.g. bookmarks, pictures, videos, etc.). Community detection methods aim at uncovering densely connected groups of tags, which can reveal the topic structure emerging in the STS. In this way, c...

Leveraging collective intelligence in organizations

The concept of collective intelligence puts forth a key hypothesis: There is a cognitive surplus in crowds. Attempts to tap this cognitive surplus in science, business, and government are increasingly being employed [Hand 2010]. Yet, while there is relatively scarce evidence of its efficacy [Galton 1907], recent endeavors point to the potential of collective intelligence in improving people’s p...

Collective Learning in Games through Social Networks

This paper argues that combining social networks communication and games can positively influence the learning behavior of players. We propose a computational model that combines features of social network learning (communication) and gamebased learning (strategy reinforcement). The focus is on cooperative games, in which a coalition of players tries to achieve a common goal. We show that enric...