Abstract--In both the commercial and defense sectors a compelling need is emerging for rapid, yet secure, dissemination of information. In this paper we address the threat of infor...
Janusz Marecki, Mudhakar Srivatsa, Pradeep Varakan...
We explore the hypothesis that it is possible to obtain information about the dynamics of a blog network by analysing the temporal relationships between blogs at a semantic level, ...
-- Assessing the value of individual users' contributions in peer-production systems is paramount to the design of mechanisms that support collaboration and improve users'...
Elizeu Santos-Neto, Flavio Figueiredo, Jussara M. ...
Abstract--As the information flowing around in social networking systems is mainly related or can be attributed to their users, controlling access to such information by individual...
Despite the growing popularity of Online Social Networks (OSNs), the workload characteristics of OSN servers, such as those hosting blog services, are not well understood. Understa...
Myeongjae Jeon, Jeaho Hwang, Youngjae Kim, Jae-Wan...
Multiple phenomena often diffuse through a social network, sometimes in competition with one another. Product adoption and political elections are two examples where network diffus...
Matthias Broecheler, Paulo Shakarian, V. S. Subrah...
We address the problem of enabling clients to regulate disclosure of their credentials and properties when interacting with servers in open scenarios. We provide a means for client...
Claudio Agostino Ardagna, Sabrina De Capitani di V...
Abstract--Microblogging sites allow users to post short messages online, offering a reliable way to communicate and to spread information quickly and efficiently; moreover, they ca...
Online popularity has enormous impact on opinions, culture, policy, and profits, especially with the advent of the social Web and Web advertising. Yet the processes that drive popu...
Jacob Ratkiewicz, Filippo Menczer, Santo Fortunato...
In this work we address the problem of modeling varying time duration sequences for large-scale human routine discovery from cellphone sensor data using a multi-level approach to p...