Disagreement Behavior Analysis of Signed Networks

This book investigates the disagreement behavior analysis problems for signed networks in the presence of both cooperative and antagonistic interactions among agents. It establishes behavior analysis frameworks for signed networks,disclosing diverse disagreement behaviors,including convergence and fluctuation behaviors,regardless of static or dynamic network topologies. It is intended for undergraduate and graduate students, engineers, and researchers interested in control of network systems, multi-agent systems, social networks, and so on.

Format: Hardback
Length: 228 pages
Publication date: 03 December 2022
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the intricate analysis of disagreement behavior in signed networks, considering the interplay of cooperative and antagonistic interactions among agents. Due to the presence of these antagonistic interactions, signed networks exhibit a diverse range of disagreement behaviors, particularly when compared to commonly studied unsigned networks that solely involve cooperative interactions among agents. Given the widespread adoption of signed networks to model real-world network systems, such as biological, social, economic, and political networks, there has been a significant interest in understanding their behavior. By focusing on agents with first-order linear dynamics, the book establishes a systematic framework for analyzing signed networks. This analysis reveals a wide spectrum of disagreement behaviors, encompassing both convergence and fluctuation patterns, irrespective of the static or dynamic network topologies.

In particular, the book introduces a class of dynamic signed networks, along with the associated design of dynamic distributed controllers and the study of disagreement behavior in agents. This book is designed to cater to undergraduate and graduate students, engineers, and researchers with a keen interest in control of network systems, multi-agent systems, social networks, and related fields. It provides a thorough understanding of the theoretical foundations and practical applications of signed network analysis, making it an invaluable resource for scholars and practitioners alike.

Weight: 576g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811955297
Edition number: 1st ed. 2022