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Erschienen in:
Consensus Theory for Cognitive Agents’ Unstructured Knowledge Conflicts Resolving in Management Information Systems Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

The Ins and Outs of Network-Oriented Modeling: From Biological Networks and Mental Networks to Social Networks and Beyond

verfasst von : Jan Treur

Erschienen in: Transactions on Computational Collective Intelligence XXXII

Verlag: Springer Berlin Heidelberg

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Abstract

Network-Oriented Modeling has successfully been applied to obtain network models for a wide range of phenomena, including Biological Networks, Mental Networks, and Social Networks. In this paper it is discussed how the interpretation of a network as a causal network and taking into account dynamics in the form of temporal-causal networks, brings more depth. The basics and the scope of applicability of such a Network-Oriented Modelling approach are discussed and illustrated. This covers, for example, Social Network models for social contagion or information diffusion, adaptive Mental Network models for Hebbian learning and adaptive Social Network models for evolving relationships. From the more fundamental side, it will be discussed how emerging network behavior can be related to network structure.

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Vorheriges Kapitel Consensus Theory for Cognitive Agents’ Unstructured Knowledge Conflicts Resolving in Management Information Systems
Nächstes Kapitel Local Termination Criteria for Swarm Intelligence: A Comparison Between Local Stochastic Diffusion Search and Ant Nest-Site Selection
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Metadaten
Titel
The Ins and Outs of Network-Oriented Modeling: From Biological Networks and Mental Networks to Social Networks and Beyond
verfasst von
Jan Treur
Copyright-Jahr
2019
Verlag
Springer Berlin Heidelberg
Buch
Transactions on Computational Collective Intelligence XXXII

Print ISBN: 978-3-662-58610-5

Electronic ISBN: 978-3-662-58611-2

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-662-58611-2_2

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