Gaussian graphical model for perceiving the sense of community of Melanau coastal village in Mukah, Sarawak

Barawi, Mohamad Hardyman and Abd Yusof, Noor Fazilla and Stephen, Donald and Othman, Mohd Kamal and Nordin, Zaimuariffudin Shukri and Azman Aziz, Mukhriz Izraf (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. 40 - 53. ISSN 2150-7988

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Network analysis, Sense of community, Rural com-munities, Borneo, Coastal village
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	11 Aug 2025 04:56
Last Modified:	11 Aug 2025 04:56
URI:	http://eprints.utem.edu.my/id/eprint/28903
Statistic Details:	View Download Statistic

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