Data Set for Social Media Security

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Data Set for Social Media Security

Some datasets contain attack data, others contain background data.

Netflix Prize: An open competition launched by Netflix. Participants were provided with data sets containing users' previous ratings to films, and were required to predict users' future ratings for those films. In this competition, two rating data sets were provided.

CANT Competition: An open competition launched by University of Rhode Island and Peking University. Participants were provided with normal rating data, and were required to upload unfair ratings aiming to mislead the final reputation score. After the competition, the attack dataset is available upon request.

Epinions Data: First dataset contains 5-week crawl from the Web site. The second dataset contains additional distrust lists which are not available to general public.

Mobile App Installation Data: Collected by MIT Media Lab from March to July 2010, this dataset recorded the installations of 821 apps from 55 participants as well as the social interactions (e.g. phone call, blue tooth etc.) among participants.

Kaggle: A platform for predictive modeling and analytics competitions. Companies and researchers post their data. Statisticians and data miners from all over the world compete to produce the best models. Some examples of the competitions are: Facebook Recruiting Competition, CPROD1: Consumer PRODucts contest #1, Detecting Insults in Social Commentary, Job Recommendation Engine Challenge.

Details of the databases can be found at here.

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