The National Science Foundation and The Pew Charitable Trusts co‐sponsored a Workshop on Knowledge Representation and Information Management for Financial Risk Management on July 21 and 22, 2010 in Arlington, Virginia (see Flood, Kyle and Raschid, 2010). The goal of the workshop was to...

The phenomenal growth of social media, both in scale and importance, has created a unique opportunity to track information diffusion and the spread of influence, but can also make efficient tracking difficult. Given data streams representing blog posts on multiple blog channels and a focal query...

Research literature to date shows few attempts to formalize a successful method for bidding in online auctions. We have collected and analyzed data from approximately 5,000 eBay auctions of laptop computers, in order to develop a system that could guide an auction participant to winning without...

We present a recommendation system for social media that draws upon monitoring and prediction methods. We use historical posts on some focal topic or historical links to a focal blog channel to recommend a set of authors to follow. Such a system would be useful for brand managers interested in...

Feature-rich social media can reveal many facets of individual user behavior; yet it is difficult to model such behavior due to both the noise and the overwhelming volume and heterogeneity in the data. In this paper, we address these challenges by building a model of user behavior in social...

We present a microblog recommendation system that can help monitor users, track conversations, and potentially improve diffusion impact. Given a Twitter network of active users and their followers, and historical activity of tweets, retweets and mentions, we build upon a prediction tool to...