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Geoffrey W. Meetham M.B.E.,Marcel H. Van de Voordeess, too, is modeled in a neat, declarative, and conceptually transparent Network-OrientedModeling manner, like the network itself. Thanks to this approach, no procedural, algorithmic, or programming skills are needed to design complex adaptive network models. A dedicated software environment is ava
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Geoffrey W. Meetham M.B.E.,Marcel H. Van de Voordecteristics (in terms of their combination functions). According to this network reification approach, as one of the results it has been found how the emergence of communities strongly depends on the value of this similarity tipping point. Moreover, it is shown that some characteristics entail that t
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Geoffrey W. Meetham M.B.E.,Marcel H. Van de Voordeation states representing the characteristics of the structure of the base network (Connectivity, Aggregation, and Timing). In Chap. ., it was shown how this construction can be used to explicitly represent network adaptation principles within a network. In the current chapter, it is discussed how,
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