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

Jan Treur

doi:10.1007/978-3-030-05414-4_27

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 proceeding › Conference contribution › Academic › peer-review

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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 language	English
Title of host publication	Complex Networks and Their Applications VII
Subtitle of host publication	Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018
Editors	Luca Maria Aiello, Chantal Cherifi, Hocine Cherifi, Renaud Lambiotte, Pietro Lió, Luis M. Rocha
Publisher	Springer
Pages	341-356
Number of pages	16
Volume	2
ISBN (Electronic)	9783030054144
ISBN (Print)	9783030054137
DOIs	https://doi.org/10.1007/978-3-030-05414-4_27
Publication status	Published - 2019
Event	7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018 - Cambridge, United Kingdom Duration: 11 Dec 2018 → 13 Dec 2018

Publication series

Name	Studies in Computational Intelligence
Publisher	Springer
Volume	813
ISSN (Print)	1860-949X

Conference

Conference	7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018
Country/Territory	United Kingdom
City	Cambridge
Period	11/12/18 → 13/12/18

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

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Relating an Adaptive Social Network’s Structure to Its Emerging Behaviour Based on HomophilyFinal published version, 1.29 MBLicence: Article 25fa Dutch Copyright Act

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Treur, J. (2019). Relating an Adaptive Social Network’s Structure to its Emerging Behaviour Based on Homophily. In L. M. Aiello, C. Cherifi, H. Cherifi, R. Lambiotte, P. Lió, & L. M. Rocha (Eds.), Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018 (Vol. 2, pp. 341-356). (Studies in Computational Intelligence; Vol. 813). Springer. https://doi.org/10.1007/978-3-030-05414-4_27

Treur, Jan. / Relating an Adaptive Social Network’s Structure to its Emerging Behaviour Based on Homophily. Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018. editor / Luca Maria Aiello ; Chantal Cherifi ; Hocine Cherifi ; Renaud Lambiotte ; Pietro Lió ; Luis M. Rocha. Vol. 2 Springer, 2019. pp. 341-356 (Studies in Computational Intelligence).

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title = "Relating an Adaptive Social Network{\textquoteright}s Structure to its Emerging Behaviour Based on Homophily",

abstract = "In this paper it is analysed how emerging behaviour of an adaptive network can be related to characteristics of the adaptive network{\textquoteright}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).",

author = "Jan Treur",

year = "2019",

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booktitle = "Complex Networks and Their Applications VII",

note = "7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018 ; Conference date: 11-12-2018 Through 13-12-2018",

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Treur, J 2019, Relating an Adaptive Social Network’s Structure to its Emerging Behaviour Based on Homophily. in LM Aiello, C Cherifi, H Cherifi, R Lambiotte, P Lió & LM Rocha (eds), Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018. vol. 2, Studies in Computational Intelligence, vol. 813, Springer, pp. 341-356, 7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018, Cambridge, United Kingdom, 11/12/18. https://doi.org/10.1007/978-3-030-05414-4_27

Relating an Adaptive Social Network’s Structure to its Emerging Behaviour Based on Homophily. / Treur, Jan.
Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018. ed. / Luca Maria Aiello; Chantal Cherifi; Hocine Cherifi; Renaud Lambiotte; Pietro Lió; Luis M. Rocha. Vol. 2 Springer, 2019. p. 341-356 (Studies in Computational Intelligence; Vol. 813).

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

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AB - 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).

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Treur J. Relating an Adaptive Social Network’s Structure to its Emerging Behaviour Based on Homophily. In Aiello LM, Cherifi C, Cherifi H, Lambiotte R, Lió P, Rocha LM, editors, Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018. Vol. 2. Springer. 2019. p. 341-356. (Studies in Computational Intelligence). Epub 2018 Dec 5. doi: 10.1007/978-3-030-05414-4_27

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

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