TY - GEN
T1 - Graph Theory and Its Role in Vulnerability Evaluation of Infrastructure Networks
AU - Zarghami, Seyed Ashkan
AU - Gunawan, Indra
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Infrastructure Networks (INs) have reached a level of complexity where conventional vulnerability analysis methods cannot fulfil the challenges for the management of this increasing complexity. There is, therefore, a need for a complementary approach through which the structural complexity and the level of interaction among the components are studied. In this context, researchers have increasingly looked into graph theory for help in understanding the structure, efficiency, and vulnerability of INs. The desire to employ the graph theory has resulted in the proliferation of a wide range of topological metrics. To gain a better appreciation for how various graph theory quantities have been used for vulnerability evaluation of INs, this chapter documents a variety of concepts from graph theory in one place and presents an overview of the application of graph theory in the field of INs. It also reviews the conceptions of the four widely used vulnerability-averse indicators of INs, which are reliability, resilience, robustness, and redundancy. The conventional graph theory methods are criticized on several grounds and the future evolution of graph theory tools is forecast.
AB - Infrastructure Networks (INs) have reached a level of complexity where conventional vulnerability analysis methods cannot fulfil the challenges for the management of this increasing complexity. There is, therefore, a need for a complementary approach through which the structural complexity and the level of interaction among the components are studied. In this context, researchers have increasingly looked into graph theory for help in understanding the structure, efficiency, and vulnerability of INs. The desire to employ the graph theory has resulted in the proliferation of a wide range of topological metrics. To gain a better appreciation for how various graph theory quantities have been used for vulnerability evaluation of INs, this chapter documents a variety of concepts from graph theory in one place and presents an overview of the application of graph theory in the field of INs. It also reviews the conceptions of the four widely used vulnerability-averse indicators of INs, which are reliability, resilience, robustness, and redundancy. The conventional graph theory methods are criticized on several grounds and the future evolution of graph theory tools is forecast.
KW - Graph theory
KW - Infrastructure networks
KW - Vulnerability
UR - http://www.scopus.com/inward/record.url?scp=85097833150&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-64228-0_9
DO - 10.1007/978-3-030-64228-0_9
M3 - Conference contribution
SN - 9783030642273
T3 - Lecture Notes in Mechanical Engineering
SP - 91
EP - 101
BT - 14th WCEAM Proceedings
A2 - Crespo Márquez, Adolfo
A2 - Komljenovic, Dragan
A2 - Amadi-Echendu, Joe
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th World Congress on Engineering Asset Management, WCEAM 2019
Y2 - 28 July 2019 through 31 July 2019
ER -