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Agent-Based Modeling and Network Dynamics$
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Akira Namatame and Shu-Heng Chen

Print publication date: 2016

Print ISBN-13: 9780198708285

Published to Oxford Scholarship Online: March 2016

DOI: 10.1093/acprof:oso/9780198708285.001.0001

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Agent-Based Modeling of Networking Risks

Agent-Based Modeling of Networking Risks

Chapter:
(p.253) 9 Agent-Based Modeling of Networking Risks
Source:
Agent-Based Modeling and Network Dynamics
Author(s):

Akira Namatame

Shu-Heng Chen

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198708285.003.0009

Systemic instability is said to exist in a networked system if its integrity is compromised regardless of whether each component functions properly. This chapter investigates how the complexity of a networked system contributes to the emergence of systemic instability. An agent-based model, which seeks to explain how the behavior of individual agents can affect the outcomes of complex systems, can make an important contribution to our understanding of potential vulnerabilities and the way in which risk propagates across networked systems. Furthermore, the chapter discusses various methodological issues related to managing risk in networks.

Keywords:   networking risk, systemic risk, vulnerability index, amplification index, cascading failures, defense strategy, risk sharing

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