Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak

This paper reports the findings of the Sense of Community (SoC) investigation using a partial correlation network analysis model within the Melanau community in Mukah, Sarawak. This study intended to investigate the neighbourhood structure and interactions among Melanau households. A sample of 85 h...

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Main Authors: Mohamad Hardyman, Barawi, Noor Fazilla, Abd Yusof, Donald, Stephen, Mohd Kamal, Othman, Zaimmuariffudin Shukri, Nordin, Mukhriz Izraf Azman, Aziz
Format: Article
Language:English
Published: Machine Intelligence Research Labs. 2024
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Online Access:http://ir.unimas.my/id/eprint/44640/3/Gaussian%20graphical%20model%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/44640/
https://www.mirlabs.org/ijcisim/volume_16.html
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spelling my.unimas.ir.446402024-04-26T02:52:32Z http://ir.unimas.my/id/eprint/44640/ Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak Mohamad Hardyman, Barawi Noor Fazilla, Abd Yusof Donald, Stephen Mohd Kamal, Othman Zaimmuariffudin Shukri, Nordin Mukhriz Izraf Azman, Aziz HT Communities. Classes. Races Q Science (General) This paper reports the findings of the Sense of Community (SoC) investigation using a partial correlation network analysis model within the Melanau community in Mukah, Sarawak. This study intended to investigate the neighbourhood structure and interactions among Melanau households. A sample of 85 households from three (3) Melanau coastal villages have participated in the survey and completed the questionnaires. The collected data has been analysed using regularised partial correlation network analysis (EBICglasso). The findings from this study proved that the support from leaders and community members are strongly related. However, the connection between these two nodes and other nodes in the network is relatively weak. This study also suggests that caring for other community members is the most central node; the participation in the community events is the most peripheral node in the sense of community network among the Melanau community. The insights from this study shed light on the associations of neighbourhood environment and sense of community. Thus, facilitating an informed decision-making process which could help researchers and policymakers understand the climate of SoC for intervention planning in the Melanau community. Machine Intelligence Research Labs. 2024-04-24 Article PeerReviewed text en http://ir.unimas.my/id/eprint/44640/3/Gaussian%20graphical%20model%20-%20Copy.pdf Mohamad Hardyman, Barawi and Noor Fazilla, Abd Yusof and Donald, Stephen and Mohd Kamal, Othman and Zaimmuariffudin Shukri, Nordin and Mukhriz Izraf Azman, Aziz (2024) Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak. International Journal of Computer Information Systems and Industrial Management Applications., 16. pp. 40-53. ISSN 2150-7988 https://www.mirlabs.org/ijcisim/volume_16.html
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic HT Communities. Classes. Races
Q Science (General)
spellingShingle HT Communities. Classes. Races
Q Science (General)
Mohamad Hardyman, Barawi
Noor Fazilla, Abd Yusof
Donald, Stephen
Mohd Kamal, Othman
Zaimmuariffudin Shukri, Nordin
Mukhriz Izraf Azman, Aziz
Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak
description This paper reports the findings of the Sense of Community (SoC) investigation using a partial correlation network analysis model within the Melanau community in Mukah, Sarawak. This study intended to investigate the neighbourhood structure and interactions among Melanau households. A sample of 85 households from three (3) Melanau coastal villages have participated in the survey and completed the questionnaires. The collected data has been analysed using regularised partial correlation network analysis (EBICglasso). The findings from this study proved that the support from leaders and community members are strongly related. However, the connection between these two nodes and other nodes in the network is relatively weak. This study also suggests that caring for other community members is the most central node; the participation in the community events is the most peripheral node in the sense of community network among the Melanau community. The insights from this study shed light on the associations of neighbourhood environment and sense of community. Thus, facilitating an informed decision-making process which could help researchers and policymakers understand the climate of SoC for intervention planning in the Melanau community.
format Article
author Mohamad Hardyman, Barawi
Noor Fazilla, Abd Yusof
Donald, Stephen
Mohd Kamal, Othman
Zaimmuariffudin Shukri, Nordin
Mukhriz Izraf Azman, Aziz
author_facet Mohamad Hardyman, Barawi
Noor Fazilla, Abd Yusof
Donald, Stephen
Mohd Kamal, Othman
Zaimmuariffudin Shukri, Nordin
Mukhriz Izraf Azman, Aziz
author_sort Mohamad Hardyman, Barawi
title Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak
title_short Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak
title_full Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak
title_fullStr Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak
title_full_unstemmed Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak
title_sort gaussian graphical model for perceiving the sense of community of melanau coastal village in mukah, sarawak
publisher Machine Intelligence Research Labs.
publishDate 2024
url http://ir.unimas.my/id/eprint/44640/3/Gaussian%20graphical%20model%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/44640/
https://www.mirlabs.org/ijcisim/volume_16.html
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score 13.211869