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Network-Oriented Modeling and Analysis of Dynamics Based on Adaptive Temporal-Causal Networks

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Complex Networks & Their Applications V (COMPLEX NETWORKS 2016 2016)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 693))

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Abstract

This paper discusses how Network-Oriented Modelling based on adaptive temporal-causal networks can be used to model and analyse dynamics and adaptivity of vari-ous processes. Adaptive temporal-causal network models incorporate a dynamic perspective on causal relations in which the states in the network change over time due to the causal relations, and these causal relations themselves also change over time. It is discussed how modelling and analysis of the dynamics of the behaviour of these network models can be performed.

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Treur, J. (2017). Network-Oriented Modeling and Analysis of Dynamics Based on Adaptive Temporal-Causal Networks. In: Cherifi, H., Gaito, S., Quattrociocchi, W., Sala, A. (eds) Complex Networks & Their Applications V. COMPLEX NETWORKS 2016 2016. Studies in Computational Intelligence, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-319-50901-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-50901-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50900-6

  • Online ISBN: 978-3-319-50901-3

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