Encyclopedia entry
Evaluating resilience through heterogeneous goodness of fit preferential attachment in scale-free networks
ASEM, Annual International Conference of the American Society for Engineering Management, 37, pp.468-472
01 Jan 2016
Abstract
In an effort to fortify networks from disruption, resilience has emerged as a major area of research within network science It has been suggested by literature that the scale-free topology characterized by a power-law degree distribution presents an inherent resilience to random disruptions As such, it has been suggested that this topology be adopted in a variety of applications including supply chain networks. This paper is a part of a larger effort to study resilience in supply chain and evaluates whether a preferential attachment methodology maximizing the goodness of fit of the power law degree distribution increases the resilience of a heterogeneous network. The Barabasi-Albert (BA) model is a basic methodology for developing scale-free networks which will be used to comparatively rate the performance of the goodness of fit preferential attachment methodology. In this study resilience is measured by the network's largest connected component as simulated disruptions are randomly applied to the system. It will be shown that achievement of a power law distribution is not singularly representative of network resilience. Rather, it is the interaction of nodes to form hubs in general during network emergence that is critical.
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Details
- Title
- Evaluating resilience through heterogeneous goodness of fit preferential attachment in scale-free networks
- Creators
- Ashley SkeeteJulie Drzymalski
- Publication Details
- ASEM, Annual International Conference of the American Society for Engineering Management, 37, pp.468-472
- Conference
- ASEM, Annual International Conference of the American Society for Engineering Management, 37, 37th
- Publisher
- WTI-Frankfurt-digital GmbH
- Number of pages
- 1
- Resource Type
- Encyclopedia entry
- Language
- English
- Academic Unit
- Construction, Engineering, and Project Management and Systems Engineering [Historical]
- Identifiers
- 991019173660504721