Complex Networks X, 1st ed. 2019 Proceedings of the 10th Conference on Complex Networks CompleNet 2019 Springer Proceedings in Complexity Series

This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.  This text will appeal to students and researchers in the field. 

​Sean P. Cornelius received his undergraduate degree from the University of Wisconsin-Madison (Madison, WI, USA), and his Ph.D. at Northwestern University (Evanston, IL, USA), both in physics. He is currently a research scientist at the Network Science Institute (NetSI) of Northeastern University and a visiting researcher at the Channing Division of Network Medicine of Harvard Medical School (Boston, MA, USA). His research focuses on nonlinear dynamics on networks. Specifically, he is interested in the topics of cascading failures, network control, and dynamical models for emergent phenomena, with applications to food webs, infrastructure systems, and subcellular networks.