It has been defined as a network in which all nodes have about the same number of links. However, G. PASK quite to the point, wrote as early as 1961: "I do not condone a lot of loose talk about 'random networks'. Random network should mean a very definite initial structure determined by a random number table, presumably because the initial structure does not affect those features of behaviour that interest us, providing the behaviour is averaged over an ensemble of artifacts" (1961, p.84).
A fully random network should not present any constraint at all and thus be totally unpredictable, even in the statistical sense of a Markovian system. Such a network could not learn, not lead to any organizational closure… and, after all, could not be a network at all.
Practically however, randomness is always framed within some determining constraints.
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Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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