Learn More
Collaborative Innovation Networks (COINs) are groups of self-motivated individuals from various parts of an organization or from multiple organizations, empowered by the Internet, who work together on a new idea, driven by a common vision. In this paper we report first results of a project that examines innovation networks by analyzing the e-mail archives(More)
iQuest is a novel software system to improve understanding of organizational phenomena with greater precision, clarity, and granularity than has previously been possible. It permits to gain new insights into organizational behavior, addressing issues such as tracking information while respecting privacy, comparing different interaction channels, network(More)
We show how to obtain high level descriptions of human behavior in terms of physical activity, speech activity , face-to-face interaction (f2f), physical proximity , and social network attributes from sensor data. We present experimental results that show that it is possible to identify individual personality traits as well as subjective and objective group(More)
Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source. Abstract Social media today provide an impressive amount of data about users and their societal interactions, thereby offering computer and(More)
We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new trends. These algorithms have been implemented in Condor, a software system for predictive search and analysis of the Web and especially social networks. Algorithms include the temporal(More)
This paper introduces an approach for organizational redesign and optimization of communication flows based on temporal analysis of communication patterns in groups of people. Our Temporal Communication Flow Visualizer automatically generates interactive movies of communication flows among individuals by mining e-mail log files and other communication(More)
This paper introduces a new Web mining approach that combines social network analysis and automatic sentiment analysis. We show how weighting the forum posts of the contributors according to their network position allow us to predict trends and real world events in the movie business. To test our approach we conducted two experiments analyzing online forum(More)