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Influence of selected formation rules for finite population networks with fixed macrostructures: Implications for individual-based model of infectious diseases. (English) Zbl 1180.90029

The authors examine the extend to which finite population networks sharing similar observable macrostructures, defined as properties that can be measured empirically, such as the distribution in sexual activity, mixing pattern and population size, can vary in micro-structure. This is achieved by using different sets of behavioral rules that enable the authors to stimulate networks with fixed predetermined macrostructures but different microstructures. In particular, the authors explore degree distributions that show scale-free properties. The authors also discuss how these results have implications for the interpretation and the future use of complex epidemiological network models in the context of scarce empirical network data with which to validate simulated networks.

MSC:

90B10 Deterministic network models in operations research
91D30 Social networks; opinion dynamics
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