Relating an Adaptive Social Network’s Structure to its Emerging Behaviour Based on Homophily

Jan Treur*

*Corresponding author for this work

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

Abstract

In this paper it is analysed how emerging behaviour of an adaptive network can be related to characteristics of the adaptive network’s structure, which includes the structure of the adaptation principles incorporated. In particular, this is addressed for adaptive social networks based on homophily. To this end relevant properties of the network and the adaptation principle have been identified, such as a tipping point for homophily. As one of the results it has been found how the emergence of clusters strongly depends on the value of this tipping point. Moreover, it is shown that some properties of the structure of the network and the adaptation principle entail that the connection weights all converge to 0 (for states in different clusters) or 1 (for states within a cluster).
Original languageEnglish
Title of host publicationComplex Networks and Their Applications VII
Subtitle of host publicationVolume 2 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
Pages341-356
Number of pages16
Volume2
ISBN (Electronic)9783030054144
ISBN (Print)9783030054137
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
Volume813
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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