Online communities are connecting large numbers of individuals and generating rich social network data, opening the way for empirical studies of social behavior. In this paper, we ...
Wikipedia is used every day by people all around the world, to satisfy a variety of information needs. We crosscorrelate multiple Wikipedia traffic data sets to infer various behav...
Jacob Ratkiewicz, Alessandro Flammini, Filippo Men...
As the value of reputation systems is widely recognized, the incentive to manipulate such systems is rapidly growing. We propose TAUCA, a scheme that identifies malicious users and...
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
Sharing life-log information in a social community has many advantages, both for the user and society. But sharing any type of personal information is a threat to privacy. In parti...
This paper proposes that social network data should be assumed public but treated private. Assuming this rather confusing requirement means that anonymity models such as kanonymity...
It is a widely held belief among designers of social tagging systems that tag clouds represent a useful tool for navigation. This is evident in, for example, the increasing number ...
Denis Helic, Christoph Trattner, Markus Strohmaier...