Networking research and development is an important field in information technology and its importance grows with the rise of the Internet and the ubiquity of worldwide communication.

Information overload has become an ubiquitous problem in modern society. Social media users and microbloggers receive an endless flow of information, often at a rate far higher than their cognitive abilities to process the information.

Context-awareness is a peculiar characteristic of an expanding set of applications that make use of a combination of restricted spatio-temporal locality and mobile communications, to deliver a variety of services. Opportunistic communications satisfy well the communication requirements of these applications, because they naturally incorporate context.

The performance of the global routing system is vital to thousands of entities operating the Autonomous Systems (ASes) which make up the Internet. The Border Gateway Protocol (BGP) is currently responsible for the exchange of reachability information and the selection of paths according to their specified routing policies.

 A highly interesting trend in mobile network optimization is to exploit knowledge of future network capacity to allow mobile terminals to prefetch data when signal quality is high and to refrain from communication when signal quality is low. While this approach offers remarkable benefits, it relies on the availability of a reliable forecast of system conditions.

In this work, propagation dynamics on social networks are studied in order to identify the most influential users. For this purpose, diffusion data has been collected during 4 weeks from a microblogging OSN (online social network) called Tumblr.

The Internet is a messy, complex landscape. Middleboxes such as DNS resolvers, UPnP home gateways, and in-path proxies placed in the IP core of the operators' networks can significantly
impair a user's access despite being designed for the contrary.

In this presentation we will explain a new mathematical procedure for the automatic discovery of interesting research questions. We propose to classify research topics according to their relevance (how important is the topic) and nescience (a measure of our current understanding of that topic).

The Internet's Transport Layer has been defined by TCP and UDP for the last 30 years. The minimal functionality of UDP enables application developers to develop their own proprietary protocols - there are plenty of examples.

This paper presents a simple framework, called WalkAbout, to infer a coarse view of connectivity in very large graphs; that is, identify well-connected “regions" with different edge densities and determine the corresponding inter- and intra- region connectivity.