Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

Networks of interconnected nodes have long played a key role in Cognitive Science, from
artificial neural networks to spreading activation models of semantic memory. Recently …

Given their importance in sha** social networks and determining how information or
transmissible diseases propagate in a population, interactions between individuals are the …

Delay-tolerant Networking (DTN) enables communication in sparse mobile ad-hoc networks
and other challenged environments where traditional networking fails and new routing and …

The availability of new data sources on human mobility is opening new avenues for
investigating the interplay of social networks, human mobility and dynamical processes such …

Background Digital networks, mobile devices, and the possibility of mining the ever-
increasing amount of digital traces that we leave behind in our daily activities are changing …

Distributed systems are by now commonplace, yet remain an often difficult area of research.
This is partly explained by the many facets of such systems and the inherent difficulty to …

In this paper we seek to improve our understanding of human mobility in terms of social
structures, and to use these structures in the design of forwarding algorithms for Pocket …

Feature generation is one of the challenging aspects of machine learning. We present
ExploreKit, a framework for automated feature generation. ExploreKit generates a large set …

Background Little quantitative information is available on the mixing patterns of children in
school environments. Describing and understanding contacts between children at school …