Research Area
Year Published

3 Results

August 1, 2009

Hive – A Warehousing Solution Over a Map-Reduce Framework

International Conference on Very Large Data Bases (VLDB)

The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. Hadoop is a popular o…

By: Ashish Thusoo, Joydeep Sen Sarma, Namit Jain, Zheng Shao, Prasad Chakka, Suresh Antony, Hao Liu, Pete Wyckoff

June 1, 2009

Feed Me: Motivating Newcomer Contribution in Social Network Sites

ACM Conference on Human Factors in Computing Systems

Social networking sites (SNS) are only as good as the content their users share. Therefore, designers of SNS seek to improve the overall user experience by encouraging members to contribute more content. However, user motivations for contribution in SNS are not well understood. This is particularly true for newcomers, who may not recognize the value of contribution. Using server log data from approximately 140,000 newcomers in Facebook, we predict long-term sharing based on the experiences the newcomers have in their first two weeks. We test four mechanisms: social learning, singling out, feedback, and distribution.

By: Moira Burke, Cameron Marlow, Thomas Lento

April 1, 2009

Gesundheit! Modeling Contagion through Facebook News Feed

AAAI Conference on Weblogs and Social Media

Whether they are modeling bookmarking behavior in Flickr or cascades of failure in large networks, models of diffusion often start with the assumption that a few nodes start long chain reactions, resulting in large-scale cascades.

By: Eric Sun, Itamar Rosenn, Cameron Marlow, Thomas Lento