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.
|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|
|Number of pages||15|
|Publication status||Published - 2021|
|Event||5th Computational Methods in Systems and Software, CoMeSySo 2021 - Virtual, Online|
Duration: 1 Oct 2021 → 1 Oct 2021
|Name||Lecture Notes in Networks and Systems|
|Conference||5th Computational Methods in Systems and Software, CoMeSySo 2021|
|Period||1/10/21 → 1/10/21|
Bibliographical notePublisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.