An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19

Sharmayne Soh; Shihan Yu; Jan Treur

doi:10.1007/978-3-030-90321-3_78

An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19

Sharmayne Soh, Shihan Yu, Jan Treur^*

^*Corresponding author for this work

Computer Science

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

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Abstract

The aim of the study reported here was to develop a model that can simulate the changes in human behaviour in response to the COVID-19 outbreak. To achieve this, a second-order adaptive social network model was designed integrating mental network models for each person. The model is based on adaptation principles such as the first-order Hebbian learning adaptation principle and the second-order ‘adaptation accelerates with increasing exposure’ adaptation principle.

Original language	English
Title of host publication	Data Science and Intelligent Systems
Subtitle of host publication	Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2
Editors	Radek Silhavy, Petr Silhavy, Zdenka Prokopova
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	932-946
Number of pages	15
Volume	2
ISBN (Electronic)	9783030903213
ISBN (Print)	9783030903206
DOIs	https://doi.org/10.1007/978-3-030-90321-3_78
Publication status	Published - 2021
Event	5th Computational Methods in Systems and Software, CoMeSySo 2021 - Virtual, Online Duration: 1 Oct 2021 → 1 Oct 2021

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
Volume	231 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	5th Computational Methods in Systems and Software, CoMeSySo 2021
City	Virtual, Online
Period	1/10/21 → 1/10/21

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

UN SDGs

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

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Soh, S., Yu, S., & Treur, J. (2021). An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19. In R. Silhavy, P. Silhavy, & Z. Prokopova (Eds.), Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2 (Vol. 2, pp. 932-946). (Lecture Notes in Networks and Systems; Vol. 231 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-90321-3_78

Soh, Sharmayne ; Yu, Shihan ; Treur, Jan. / An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19. Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. editor / Radek Silhavy ; Petr Silhavy ; Zdenka Prokopova. Vol. 2 Springer Science and Business Media Deutschland GmbH, 2021. pp. 932-946 (Lecture Notes in Networks and Systems).

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title = "An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19",

abstract = "The aim of the study reported here was to develop a model that can simulate the changes in human behaviour in response to the COVID-19 outbreak. To achieve this, a second-order adaptive social network model was designed integrating mental network models for each person. The model is based on adaptation principles such as the first-order Hebbian learning adaptation principle and the second-order {\textquoteleft}adaptation accelerates with increasing exposure{\textquoteright} adaptation principle.",

author = "Sharmayne Soh and Shihan Yu and Jan Treur",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th Computational Methods in Systems and Software, CoMeSySo 2021 ; Conference date: 01-10-2021 Through 01-10-2021",

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Soh, S, Yu, S & Treur, J 2021, An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19. in R Silhavy, P Silhavy & Z Prokopova (eds), Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. vol. 2, Lecture Notes in Networks and Systems, vol. 231 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 932-946, 5th Computational Methods in Systems and Software, CoMeSySo 2021, Virtual, Online, 1/10/21. https://doi.org/10.1007/978-3-030-90321-3_78

An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19. / Soh, Sharmayne; Yu, Shihan; Treur, Jan.
Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. ed. / Radek Silhavy; Petr Silhavy; Zdenka Prokopova. Vol. 2 Springer Science and Business Media Deutschland GmbH, 2021. p. 932-946 (Lecture Notes in Networks and Systems; Vol. 231 LNNS).

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

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Soh S, Yu S, Treur J. An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19. In Silhavy R, Silhavy P, Prokopova Z, editors, Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. Vol. 2. Springer Science and Business Media Deutschland GmbH. 2021. p. 932-946. (Lecture Notes in Networks and Systems). Epub 2021 Nov 17. doi: 10.1007/978-3-030-90321-3_78

An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19

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