Citation

Bukar, Umar Ali and Sayeed, Md Shohel and Ahmed Amodu, Oluwatosin and Abdul Razak, Siti Fatimah and Yogarayan, Sumendra and Othman, Mohamed (2025) Leveraging VOSviewer approach for mapping, visualisation, and interpretation of crisis data for disaster management and decision-making. International Journal of Information Management Data Insights, 5 (1). p. 100314. ISSN 26670968

Text Leveraging VOSviewer approach for mapping, visualisation, and interpretation of crisis data for disaster management and decision-making.pdf - Published Version Restricted to Repository staff only Download (15MB)

Abstract

Analysing social media data is crucial for crisis management organisations to make timely decisions. Researchers in crisis informatics have devised various methods and systems to process and classify large volumes of crisisrelated social media data for effective crisis response and recovery. However, the complexity of previous solutions hampers the timely processing of this data, its visualisation, and its interpretation, which is necessary for effective crisis response. Hence, this study addresses this challenge by employing visualisation of similarities to analyse and visualise crisis datasets to aid crisis management and decision-making. The results reveal a "ninecluster community” of relevant keywords comprising “Green, Brown, Red, Blue, Pink, Purple, Yellow, Orange, and Cyan” colours, in both binary and full count. Specifically, the findings reveal various keywords such as the needs for food, water, shelter, medicine, and electricity. Thereafter, the study discusses the implications of VOSviewer for analysing crisis data theoretically and practically

Item Type:	Article
Uncontrolled Keywords:	Data analysis, decision-making,disaster management, social media
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	18 Feb 2025 03:36
Last Modified:	18 Feb 2025 03:36
URII:	http://shdl.mmu.edu.my/id/eprint/13474

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