EUROPEAN CONFERENCE ON MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES International Workshop on Finding Patterns of Human Behaviors in NEtworks and MObility Data

(ECML PKDD 2011). In the past decade, network theory has revolutionized our understanding of systems of interacting objects, impacting a wide array of disciplines. In the area of complex systems we are witnessing yet another seismic shift. Indeed, thanks to the increasing availability of large-scale data in many diverse settings, researchers now have access to patterns of human behavior at an unprecedented level of details. These large-scale datasets, offering objective description on human activity patterns, are expected to revolutionize our understanding of human behavior. Researchers have attempted to study, measure, model and predict human behaviors from many dif-ferent perspectives. For example, much effort has been devoted to understanding how people connect, interact, and exchange information with others. At the same time, there has been wide and multidis-ciplinary research on understanding human mobility patterns: where do people go? How fast do they move? How regular are their movements? These advances in social networks and human mobility have also turned the interplay between these two aspects into an emergent focus in our understanding of human behavior. The aim of the workshop was to bring together pioneering researchers in the fields of data minin