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• W2127070447 abstract "Many real, complex networks have been shown to be scale-free. Scale-free in networks mean that their degree distribution is independent of the network size, have short path lengths and are highly clustered. We identify the qualities of scale-free networks, and discuss the mathematical derivations and numerically simulated outcomes of various deterministic scale-free models. Information Systems networks are a set of individual Information Systems that exchange meaningful data among themselves. However, for various reasons, they do not naturally grow in a scale-free manner. In this topic, we will specifically examine a technique proposed by MITRE that allows information to be exchanged in an efficient manner between Information System nodes. With this technique, we will show that a scale-free Information System Network is sound in theory and practice, state the characteristics of such networks and demonstrate how such a system can be constructed. Advisor: Stuart E. Madnick Title: John Norris Maguire Professor of Information Technology & MIT Sloan School of Management & Professor Engineering Systems MIT School of Engineering" @default.
• W2127070447 created "2016-06-24" @default.
• W2127070447 creator A5042799776 @default.
• W2127070447 date "2006-01-01" @default.
• W2127070447 modified "2023-09-27" @default.
• W2127070447 title "SCALE FREE INFORMATION SYSTEMS NETWORKS" @default.
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• W2127070447 hasPublicationYear "2006" @default.
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