We propose a generalized framework to analyse constraints and representations in growing complex networks. We show that the introduction of biological, social and technological information by means of an additional network of constraints, together with the distinction between complete potential networks and instantaneous effective ones, can offer additional insights about the final topological outcome. Specifically, we study the emergence of exponential cutoffs in broad-scale degree distributions as a result of high level constraints. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Santos, F. C., Bersini, H., & Lenaerts, T. (2007). Networks regulating networks: The effects of constraints on topological evolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4648 LNAI, pp. 956–965). Springer Verlag. https://doi.org/10.1007/978-3-540-74913-4_96
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