Chemical Industrial Areas And Their Dynamic
Danger Behaviour
Author(s)
G. L. L. Reniers, A. Audenaert, W. Dullaert & K. Soudan
Abstract
Chemical industrial areas or so-called chemical clusters consist of various
companies situated next to each other. Such areas are composed of hundreds of
chemical installations exhibiting danger to a certain degree for initiating or
continuing knock-on effects. In this paper, a methodology to model such clusters
as networks and to investigate their dynamic danger behaviour is proposed. This
original approach leads to a tentative strategy to optimally protect chemical
industrial areas against security risks.
Keywords: small-world behaviour, power-law functioning, network analysis,
security management.
1 Introduction
The emerging importance of so-called scale-free networks is a direct
consequence of the widespread and multidisciplinary real-life occurrence of such
networks, e.g. the world-wide web, social networks, terrorist networks, etc.
(Barabasi [1]; Barabasi et al. [2], Buchanan [3]; Gong and Van Leeuwen [4]). In
this paper the importance of such networks for the security management research
field is examined.
To diagnose a network as scale-free, it has to be typified by three main
characteristics, i.e., (i) every pair of nodes can be connected through a short path
within the network, (ii) the probability that two nodes are linked is greater if they
share a neighbour, and (iii) the fraction of nodes with k neighbours decays
roughly as a function of the form γ − k for some positive exponent γ.
Keywords
small-world behaviour, power-law functioning, network analysis,
security management.
Related Book
Other papers in this volume
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