Disaster response network analysis in rural Temerloh, Pahang communities during the Malaysia 2020-2021 flood

Abstract

Disaster risk reduction practices can be viewed as a collaborative environment managed by a diverse group of stakeholders including governments, private sectors and non-governmental organizations and research institutes as well as local communities. Insufficient collaboration and failure to coordinate across groups can lead to unsuccessful disaster recovery efforts. This study investigates the organizational roles and collaboration network among governmental and community organizations participating in Malaysia 2020-2021 flood response in rural Temerloh, Pahang. Social network analysis was conducted using Gephi open-source software to examine the general patterns of structures and the characteristics of the networks of stakeholders. News reports and organizational situation reports about the inter-organizational interaction and collaboration of stakeholders were identified using the manual coding analysis and analysed using Gephi, a social network analysis open-source software. The analysed results were ranked based on the categories of the centrality parameter, which highlights the extent of collaboration of key stakeholders in the network. The findings of this study indicate Malaysian Civil Defence (APM) and local government have high degree and betweenness centralities in the network. The number of private sectors active in disaster response was minimal, as were their centralities within the network, where they ranked last in every network measure. Rural communities and victims had lower betweenness centrality scores showed they had low network influence. NGOs are less involved in disaster response but are more involved in relief efforts such as cleaning muddy houses, recruiting medical and non-medical volunteers to help flood victims, distributing cleaning and healthcare supplies, and giving meals.

Situation report (SITREP) visualization for effective management of disaster incidents in Sri Lanka

“…They clearly indicated that the prevention and preparedness of the general public are rather low and that makes high damage to the properties and lives of the region. Similar research work can be found in Yang et al (2012), Arun et al (2020), and Lam and Chow (2022). Not only for flood events but also for health-related disasters with floods, the situation reports were successfully used.…”

Effective Stakeholder Management for Inclusive Post-Flood Management: Sri Lanka as a Case Study

“…Centrality measures were employed to identify the most central actors [66]. The significance of the stakeholders can be initially evaluated using the Weighted Degree Centrality parameter.…”

“…In this study, the communication networks under SNA (refer to Figure 3) were developed using Gephi software, version 0.10.1 [66], which is a social network analysis open-source software. Before feeding the data into the software, an adjacency matrix was created in Microsoft Excel for all three post-flood management phases using binary units (1 = connection exists between two stakeholders; 0 = no connection between two stakeholders) [67] to identify the connection between the stakeholders.…”

Privacy concerns in social media UGC communities: Understanding user behavior sentiments in complex networks

“…One node can be identified in relation to several descriptors, which makes it possible to demonstrate the themes around which the communities are grouped, as well as their classification. The richer in terms of data a community is, the more connections are there between its nodes (Mishra et al 2011;Lam and Chow 2022).…”