An Adaptive Social Network Model for Expatriate Integration Based on Bonding by Homophily and Interaction Connects

Kamiel Gülpen; Dante de Lang; Jan Treur

doi:10.1007/978-3-031-16014-1_41

An Adaptive Social Network Model for Expatriate Integration Based on Bonding by Homophily and Interaction Connects

Kamiel Gülpen, Dante de Lang, 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

This paper introduces a new view on modelling expatriate integration by mapping connections between expats and between expats and the local community. The proposed adaptive social network model differs from existing integration models in that it considers both the bonding by homophily principle together with the interaction connects principle to model the adaptivity of the strength of social connections. In the results it was found that both principles have different influences on how well expats integrate with the local community; a combination of both principles showed to be stronger than their sum.

Original language	English
Title of host publication	Computational Collective Intelligence
Subtitle of host publication	14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings
Editors	Ngoc Thanh Nguyen, Adrianna Kozierkiewicz, Bogdan Trawiński, Yannis Manolopoulos, Richard Chbeir
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	520-533
Number of pages	14
ISBN (Electronic)	9783031160141
ISBN (Print)	9783031160134
DOIs	https://doi.org/10.1007/978-3-031-16014-1_41
Publication status	Published - 2022
Event	14th International Conference on Computational Collective Intelligence , ICCCI 2022 - Hammamet, Tunisia Duration: 28 Sept 2022 → 30 Sept 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13501 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Computational Collective Intelligence , ICCCI 2022
Country/Territory	Tunisia
City	Hammamet
Period	28/09/22 → 30/09/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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10.1007/978-3-031-16014-1_41

21-9-2022An Adaptive Social Network Model for Expatriate Integration Based on Bonding by Homophily and Interaction ConnectsFinal published version, 2.43 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/357340188Licence: Unspecified

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Gülpen, K., de Lang, D., & Treur, J. (2022). An Adaptive Social Network Model for Expatriate Integration Based on Bonding by Homophily and Interaction Connects. In N. T. Nguyen, A. Kozierkiewicz, B. Trawiński, Y. Manolopoulos, & R. Chbeir (Eds.), Computational Collective Intelligence: 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings (pp. 520-533). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13501 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16014-1_41

Gülpen, Kamiel ; de Lang, Dante ; Treur, Jan. / An Adaptive Social Network Model for Expatriate Integration Based on Bonding by Homophily and Interaction Connects. Computational Collective Intelligence: 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings. editor / Ngoc Thanh Nguyen ; Adrianna Kozierkiewicz ; Bogdan Trawiński ; Yannis Manolopoulos ; Richard Chbeir. Springer Science and Business Media Deutschland GmbH, 2022. pp. 520-533 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper introduces a new view on modelling expatriate integration by mapping connections between expats and between expats and the local community. The proposed adaptive social network model differs from existing integration models in that it considers both the bonding by homophily principle together with the interaction connects principle to model the adaptivity of the strength of social connections. In the results it was found that both principles have different influences on how well expats integrate with the local community; a combination of both principles showed to be stronger than their sum.",

author = "Kamiel G{\"u}lpen and {de Lang}, Dante and Jan Treur",

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Gülpen, K, de Lang, D & Treur, J 2022, An Adaptive Social Network Model for Expatriate Integration Based on Bonding by Homophily and Interaction Connects. in NT Nguyen, A Kozierkiewicz, B Trawiński, Y Manolopoulos & R Chbeir (eds), Computational Collective Intelligence: 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13501 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 520-533, 14th International Conference on Computational Collective Intelligence , ICCCI 2022, Hammamet, Tunisia, 28/09/22. https://doi.org/10.1007/978-3-031-16014-1_41

An Adaptive Social Network Model for Expatriate Integration Based on Bonding by Homophily and Interaction Connects. / Gülpen, Kamiel; de Lang, Dante; Treur, Jan.
Computational Collective Intelligence: 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings. ed. / Ngoc Thanh Nguyen; Adrianna Kozierkiewicz; Bogdan Trawiński; Yannis Manolopoulos; Richard Chbeir. Springer Science and Business Media Deutschland GmbH, 2022. p. 520-533 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13501 LNAI).

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

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Gülpen K, de Lang D, Treur J. An Adaptive Social Network Model for Expatriate Integration Based on Bonding by Homophily and Interaction Connects. In Nguyen NT, Kozierkiewicz A, Trawiński B, Manolopoulos Y, Chbeir R, editors, Computational Collective Intelligence: 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 520-533. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2022 Sept 21. doi: 10.1007/978-3-031-16014-1_41

An Adaptive Social Network Model for Expatriate Integration Based on Bonding by Homophily and Interaction Connects

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