Abstract
Emerging behaviour of a network is a consequence of the network’s structure. However, it may often not be easy to find out how this relation between structure and behaviour exactly is. In this chapter, results are presented on how certain properties of network structure determine network behaviour. The network structure characteristics considered include both connectivity characteristics in terms of being strongly connected, and aggregation characteristics in terms of properties of combination functions to aggregate multiple impacts on a state. In particular, results are found for networks that are strongly connected and combination functions that are strictly monotonically increasing and scalar-free. This class of combination functions includes linear combination functions such as scaled sum functions but also nonlinear ones such as Euclidean combination functions of any order n and scaled geometric mean combination functions. In addition, some results are found on how timing characteristics affect final outcomes of the network behaviour.
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Treur, J. (2020). Relating Emerging Network Behaviour to Network Structure. In: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. Studies in Systems, Decision and Control, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-31445-3_11
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DOI: https://doi.org/10.1007/978-3-030-31445-3_11
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