The emotional state of an individual is continuously affected by daily events. Stressful periods can be coped with by support from a person’s social environment. Support can for example reduce stress and social disengagement. Before improvements on the process of support are however made, it is essential to understand the actual real world process. In this paper a computational model of a network for mutual support is presented. The dynamic model quantifies the change in the network over time of stressors and support. The model predicts that more support is provided when more stress is experienced and when more people are capable of support. Moreover, the model is able to distinguish personal characteristics. The model behaves according to predictions and is evaluated by simulation experiments and mathematical analysis. The proposed model can be important in development of a software agent which aims to improve coping with stress through social connections.
|Title of host publication||8th International Conference on Computational Collective Intelligence, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part I|
|Editors||Ngoc-Thanh Nguyen, Lazaros Iliadis, Yannis Manolopoulos, Bogdan Trawiński|
|Number of pages||14|
|Publication status||Published - 2016|
|Name||Lecture Notes in Computer Science|
Medeiros, L., Sikkes, R., & Treur, J. (2016). Modelling a Mutual Support Network for Coping with Stress. In N-T. Nguyen, L. Iliadis, Y. Manolopoulos, & B. Trawiński (Eds.), 8th International Conference on Computational Collective Intelligence, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part I (Vol. 9875, pp. 64-77). (Lecture Notes in Computer Science; Vol. 9875). Springer. https://doi.org/10.1007/978-3-319-45243-2_6