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

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publicationTheory and Practice of Natural Computing
Subtitle of host publication7th International Conference, TPNC 2018, Proceedings
EditorsCarlos Martín-Vide, Miguel A. Vega-Rodríguez, David Fagan, Michael O’Neill
PublisherSpringer - Verlag
Pages344-358
Number of pages15
ISBN (Electronic)9783030040703
ISBN (Print)9783030040697
DOIs
Publication statusPublished - 2018
Event7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018 - Dublin, Ireland
Duration: 12 Dec 201814 Dec 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11324 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018
CountryIreland
CityDublin
Period12/12/1814/12/18

Fingerprint

Network Structure
Hebbian Learning
Network Evolution
Expressiveness
Social Networks
Modeling
Model

Keywords

  • Adaptation principle
  • Network reification

Cite this

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, 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, 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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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, 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, 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 proceedingConference contributionAcademicpeer-review

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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, Proceedings. Springer - Verlag. 2018. p. 344-358. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-04070-3_27