Social Vulnerability and How It Matters: A Bibliometric Analysis

Toni  Toharudin; Jadi  Suprijadi; Rezzy Eko  Caraka; Resa Septiani  Pontoh; Rung Ching  Chen; Youngjo  Lee; Bens  Pardamean

doi:10.6000/1929-4409.2021.10.71

Authors

Toni Toharudin Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Padjadjaran, Bandung 45363, Indonesia
Jadi Suprijadi Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Padjadjaran, Bandung 45363, Indonesia
Rezzy Eko Caraka College of Medicine, Seoul National University, 103 Daehak-ro, Ihwa-dong, Jongno-gu, Seoul, Republic of Korea
Resa Septiani Pontoh Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Padjadjaran, Bandung 45363, Indonesia
Rung Ching Chen Department of Information Management, College of Informatics, Chaoyang University of Technology, Taichung City 41349, Taiwan
Youngjo Lee Laboratory Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, Seoul 08826, South Korea
Bens Pardamean Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta 11480, Indonesia; BINUS Graduate Program- Master of Computer Science Program, Bina Nusantara University, Jakarta, 11480, Indonesia

DOI:

https://doi.org/10.6000/1929-4409.2021.10.71

Keywords:

Social Vulnerability, Review, Bibliometric, Disaster, Mitigation

Abstract

Interdisciplinary and cross-cultural studies of the impacts of environment and social vulnerability must be undertaken to address the problem of social vulnerability in the foreseeable future. Scientist or social scientists should first continuously strive towards approaches can integrate municipal technological expertise, experiences, knowledge, perceptions, and expectations into emergency circumstances, so that people can be sharper on issues and offer responses with their matters. In this paper. We performing the Bibliometric Analysis to review published papers on the keyword 'Social Vulnerability'. There are 29,468 papers published in the last 52 years from 1969 to November 2020. Disaster research by implementing the Internet of Things (IoT), data mining, machine learning is still needed.

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