Complex Networks IX: Proceedings of the 9th Conference on Complex Networks CompleNet 2018 (Springer Proceedings in Complexity)

ISBN 10: 3319731971 / ISBN 13: 9783319731971

Published by Springer, 2018

About this Item

1st ed. 2018 edition NO-PA16APR2015-KAP.

Seller Inventory # 26376477892

Bibliographic Details

• Title: Complex Networks IX: Proceedings of the 9th Conference on Complex Networks CompleNet 2018 (Springer Proceedings in Complexity)
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319731971
• ISBN 13: 9783319731971
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.

From the Back Cover

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) 2018 in Boston, MA in 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.