Network reification as a unified approach to represent network adaptation principles within a network

Jan Treur

doi:10.1007/978-3-030-04070-3_27

Network reification as a unified approach to represent network adaptation principles within a network

Jan Treur^*

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In this paper the notion of network reification is introduced: a construction by which a given (base) network is extended by adding explicit states representing the characteristics defining the base network’s structure. Having the network structure represented in an explicit manner within the extended network enhances expressiveness and enables to model adaptation of the base network by dynamics within the reified network. It is shown how the approach provides a unified modeling perspective on representing network adaptation principles across different domains. This is illustrated by a number of known network adaptation principles such as for Hebbian learning in Mental Networks and for network evolution based on homophily in Social Networks.

Original language	English
Title of host publication	Theory and Practice of Natural Computing
Subtitle of host publication	7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings
Editors	Carlos Martín-Vide, Miguel A. Vega-Rodríguez, David Fagan, Michael O’Neill
Publisher	Springer - Verlag
Pages	344-358
Number of pages	15
ISBN (Electronic)	9783030040703
ISBN (Print)	9783030040697
DOIs	https://doi.org/10.1007/978-3-030-04070-3_27
Publication status	Published - 2018
Event	7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018 - Dublin, Ireland Duration: 12 Dec 2018 → 14 Dec 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11324 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018
Country/Territory	Ireland
City	Dublin
Period	12/12/18 → 14/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities

Keywords

Adaptation principle
Network reification

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10.1007/978-3-030-04070-3_27

Network Reification as a Unified Approach to Represent Network Adaptation Principles Within a NetworkFinal published version, 2.64 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/327644562_Network_Reification_as_a_Unified_Approach_to_Represent_Network_Adaptation_Principles_within_a_Network

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Treur, J. (2018). Network reification as a unified approach to represent network adaptation principles within a network. In C. Martín-Vide, M. A. Vega-Rodríguez, D. Fagan, & M. O’Neill (Eds.), Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings (pp. 344-358). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11324 LNCS). Springer - Verlag. https://doi.org/10.1007/978-3-030-04070-3_27

Treur, Jan. / Network reification as a unified approach to represent network adaptation principles within a network. Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. editor / Carlos Martín-Vide ; Miguel A. Vega-Rodríguez ; David Fagan ; Michael O’Neill. Springer - Verlag, 2018. pp. 344-358 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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year = "2018",

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Treur, J 2018, Network reification as a unified approach to represent network adaptation principles within a network. in C Martín-Vide, MA Vega-Rodríguez, D Fagan & M O’Neill (eds), Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11324 LNCS, Springer - Verlag, pp. 344-358, 7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018, Dublin, Ireland, 12/12/18. https://doi.org/10.1007/978-3-030-04070-3_27

Network reification as a unified approach to represent network adaptation principles within a network. / Treur, Jan.
Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. ed. / Carlos Martín-Vide; Miguel A. Vega-Rodríguez; David Fagan; Michael O’Neill. Springer - Verlag, 2018. p. 344-358 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11324 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - In this paper the notion of network reification is introduced: a construction by which a given (base) network is extended by adding explicit states representing the characteristics defining the base network’s structure. Having the network structure represented in an explicit manner within the extended network enhances expressiveness and enables to model adaptation of the base network by dynamics within the reified network. It is shown how the approach provides a unified modeling perspective on representing network adaptation principles across different domains. This is illustrated by a number of known network adaptation principles such as for Hebbian learning in Mental Networks and for network evolution based on homophily in Social Networks.

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Treur J. Network reification as a unified approach to represent network adaptation principles within a network. In Martín-Vide C, Vega-Rodríguez MA, Fagan D, O’Neill M, editors, Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. Springer - Verlag. 2018. p. 344-358. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2018 Nov 22. doi: 10.1007/978-3-030-04070-3_27

Network reification as a unified approach to represent network adaptation principles within a network

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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