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Using pageRank and social network analysis to specify mental health factors
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0002-3416-4535
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0001-8218-4306
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0003-1126-3781
2021 (English)In: Proceedings of the Design Society: 23rd International Conference on Engineering Design, ICED 2021,, Cambridge University Press (CUP) , 2021, Vol. 1, p. 3379-3388Conference paper, Published paper (Refereed)
Abstract [en]

Various factors influence mental well-being, and span individual, social and familial levels. These factors are connected in many ways, forming a complex web of factors and providing pathways for developing programs to improve well-being and for further research. These factors can be studied individually using traditional methods and mapped together to be analyzed holistically from a complex system perspective. This study provides a novel approach using PageRank and social network analysis to understand such maps. The motives are: (1) to realize the most influential factors in such complex networks, (2) to understand factors that influence variations from different network aspects. A previously developed map for children's mental well-being was adopted to evaluate the approach. To achieve our motives, we have developed an approach using PageRank and Social Network Analysis. The results indicate that regardless of the network scale, two key factors called "Quantity and Quality of Relationships" and "Advocacy" can influence children's mental well-being significantly. Moreover, the divergence analysis reveals that one factor, "Recognition/Value Placed on well-being at School" causes a wide range of diffusion throughout the system.

Place, publisher, year, edition, pages
Cambridge University Press (CUP) , 2021. Vol. 1, p. 3379-3388
Keywords [en]
Complexity, Computational design methods, Process modelling, Social Network Analysis, Well-being, Factor analysis, Developing projects, Health factors, Influential factors, Mental health, Page ranks, Process-models, Well being, Complex networks
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-312946DOI: 10.1017/pds.2021.599Scopus ID: 2-s2.0-85117800763OAI: oai:DiVA.org:kth-312946DiVA, id: diva2:1661808
Conference
23rd International Conference on Engineering Design, ICED 2021, 16 August 2021 through 20 August 2021
Note

QC 20220530

Available from: 2022-05-30 Created: 2022-05-30 Last updated: 2022-06-25Bibliographically approved

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Boodaghian Asl, ArsinehRaghothama, JayanthDarwich, Adam S.Meijer, Sebastiaan

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