In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
The procedures to collect information about users are well known in computer science till long time. They range from getting explicit information from users, required in order to ...
Abstract. Gullibility is the principal cause of bubbles. Investors and the general public get snared by a "beautiful illusion" and throw caution to the wind. Attempts to ...
While peer-to-peer (P2P) video streaming systems have achieved promising results, they introduce a large number of unnecessary traverse links, which consequently leads to substanti...
Yan Chen, Beibei Wang, W. Sabrina Lin, Yongle Wu, ...
Many applications, including provenance and some analyses of social networks, require path-based queries over graphstructured data. When these graphs contain sensitive information...
Barbara T. Blaustein, Adriane Chapman, Len Seligma...