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

Sharmayne Soh, Shihan Yu, Jan Treur

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

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 languageEnglish
Title of host publicationProc. of the 5th International Conference on Computational Methods in Systems and Software, CoMeSySo'21
PublisherSpringer Nature Switzerland AG
Publication statusAccepted/In press - 3 Aug 2021

Publication series

NameLecture Notes in Networks and Systems
PublisherSpringer Nature

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