Internet communication is a major challenge for anyone claiming to design scalable multiagent systems. Millions of messages
are passed every day, referring to one another and thus shaping a gigantic network of communication. In this paper, we compare
and discuss two different approaches to modelling and analysing such large-scale networks of communication: Social Network
Analysis (SNA) and Communication-Oriented Modelling (COM). We demonstrate that, with regard to scalability, COM offers striking
advantages over SNA. Based on this comparison, we identify mechanisms that foster scalability in a broader sense, comprising
issues of downscaling as well.
[Show abstract][Hide abstract] ABSTRACT: Interdependency among critical infrastructures contributes to vulnerabilities of those infrastructures. In this paper, the vulnerabilities of critical infrastructures are identified and analysed using social network analysis. In the analysis of network centrality, the importance of each critical infrastructure, in terms of its contribution to infrastructure interdependency, is ranked. The findings show that electricity and telecommunication are the two most important critical infrastructures that contribute to infrastructure interdependency, which further render the infrastructure network vulnerable to cascading damage. An example system is given to illustrate the ideas and results presented in this paper.
International Journal of Critical Infrastructures 01/2008; 4(3):256-273. DOI:10.1504/IJCIS.2008.017440
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