Multilevel Network Reification: Representing Higher Order Adaptivity in a Network

Jan Treur*

*Corresponding author for this work

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

Abstract

In this paper it is shown how a network can be extended by adding explicit states representing the characteristics defining the structure of the network. Adding such states provides what is called network reification, which can be used to explitly represent network adaptation principles. But also the adaptivity principles may change, based on second-order adaptivity of the network. By another reification step applied to the reified network, also the characteristics of such second-order adaptivity are explicitly represented, thus obtaining multilevel network reification. The construction of multilevel reification introduced here enables representation within a network not only of first-order adaptation principles, but also of second-order adaptation principles expressing change of first-order adaptation principles. The approach is illustrated for an adaptive Social Network involving an adaptive adaptation principle from Social Science based on homophily, by which connections are changing by a first-order adaptation principle which changes over time by a second-order adaptation principle.
Original languageEnglish
Title of host publicationComplex Networks and Their Applications VII
Subtitle of host publicationVolume 1 Proceedings The 7th International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2018
EditorsLuca Maria Aiello, Chantal Cherifi, Hocine Cherifi, Renaud Lambiotte, Pietro Lió, Luis M. Rocha
PublisherSpringer
Pages635-651
Number of pages17
Volume1
ISBN (Electronic)9783030054113
ISBN (Print)9783030054106
DOIs
Publication statusPublished - 11 Dec 2018
Event7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018 - Cambridge, United Kingdom
Duration: 11 Dec 201813 Dec 2018

Publication series

NameStudies in Computational Intelligence
PublisherSpringer
Volume812
ISSN (Print)1860-949X

Conference

Conference7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018
CountryUnited Kingdom
CityCambridge
Period11/12/1813/12/18

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