Bruno Gonçalves – författare

This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks.

This book aims to bring together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems.

This book aims to bring together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems.

This book contains contributions presented at the 12th International Conference on Complex Networks (CompleNet), 24-26 May 2021.

This book contains contributions presented at the 12th International Conference on Complex Networks (CompleNet), 24-26 May 2021.

This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies. This area has witnessed a veritable explosion of activity over the last few years, yielding many interesting and useful results. Our aim is to provide an overview of the state of the art in this area of research, merging an extremely heterogeneous array of datasets and models. Social Phenomena: From Data Analysis to Models is divided into two parts. Part I deals with modeling social behavior under normal conditions: How we live, travel, collaborate and interact with each other in our daily lives. Part II deals with societal behavior under exceptional conditions: Protests, armed insurgencies, terrorist attacks, and reactions to infectious diseases. This book offers an overview of one of the most fertile emerging fields bringing together practitioners from scientific communities asdiverse as social sciences, physics and computer science. We hope to not only provide an unifying framework to understand and characterize social phenomena, but also to help foster the dialogue between researchers working on similar problems from different fields and perspectives.

The lastdecades have seen the emergence of Complex Networks as the language with whicha wide range of complex phenomena in fields as diverse as Physics, ComputerScience, and Medicine (to name just a few) can be properly described andunderstood. This book provides a view of the state of the art in this dynamicfield and covers topics ranging from network controllability, social structure,online behavior, recommendation systems, and network structure. This book includes the peer-reviewed list ofworks presented at the 7th Workshop on Complex Networks CompleNet2016 which was hosted by the Université de Bourgogne, France, from March23-25, 2016. The 28 carefully reviewed and selectedcontributions in this book address many topics related to complex networks andhave been organized in seven major groups: (1) Theory of Complex Networks, (2)Multilayer networks, (3) Controllability of networks, (4) Algorithms fornetworks, (5) Community detection, (6) Dynamics and spreading phenomena onnetworks, (7) Applications of Networks.

This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies.

This book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing.The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure.

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 9th International Conference on Complex Networks (CompleNet) in Boston, MA, March, 2018. 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.

The lastdecades have seen the emergence of Complex Networks as the language with whicha wide range of complex phenomena in fields as diverse as Physics, ComputerScience, and Medicine (to name just a few) can be properly described andunderstood. This book provides a view of the state of the art in this dynamicfield and covers topics ranging from network controllability, social structure,online behavior, recommendation systems, and network structure. This book includes the peer-reviewed list ofworks presented at the 7th Workshop on Complex Networks CompleNet2016 which was hosted by the Université de Bourgogne, France, from March23-25, 2016. The 28 carefully reviewed and selectedcontributions in this book address many topics related to complex networks andhave been organized in seven major groups: (1) Theory of Complex Networks, (2)Multilayer networks, (3) Controllability of networks, (4) Algorithms fornetworks, (5) Community detection, (6) Dynamics and spreading phenomena onnetworks, (7) Applications of Networks.

It is this interdisciplinary nature of complex networks that CompleNet aims at addressing.The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood.