2022
DOI: 10.3390/ijerph192214878
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Mapping the Global Evolution and Research Directions of Information Seeking, Sharing and Communication in Disasters: A Bibliometric Study

Abstract: This paper aims to grasp developments and trends in research on information communication, information seeking and information sharing in disasters during 2000–2021. By using bibliometrics software CiteSpace and VOSviewer, the development trends of publications, disciplinary, journals, institutions and regional cooperation are mapped. Keyword co-occurrence analysis is used to further identify the evolution of the research hot points and visualize the research orientation and frontier. The results indicate that… Show more

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Cited by 5 publications
(3 citation statements)
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“…Visualization of the co-occurrence network of keywords was carried out using VOSviewer [24,[34][35][36], while descriptive statistics such as numbers, percentages, and rankings were used to present these findings. Descriptive statistical analyzes were carried out to show the development over time and the distribution of the articles and performance analysis was also conducted to analyze the number of publications, citations, and primary publication sources [15,37].…”
Section: Methodsmentioning
confidence: 99%
“…Visualization of the co-occurrence network of keywords was carried out using VOSviewer [24,[34][35][36], while descriptive statistics such as numbers, percentages, and rankings were used to present these findings. Descriptive statistical analyzes were carried out to show the development over time and the distribution of the articles and performance analysis was also conducted to analyze the number of publications, citations, and primary publication sources [15,37].…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, in this study, by applying the Timeline function of CiteSpace, we obtained Figure 5, which shows the temporal evolution of the trending topics of EDOP-related research during the period 2001-2023, based on the occurrence status of the keywords. In the Timeline view, the X-axis represents the year of publication and the Y-axis represents the number of clusters (Tan & Hao, 2022). The location of the circle in the graph represents the time when the keyword first appeared, the size of the circle represents the frequency of its appearance, the greater the frequency the larger the circle, and the colour of the circle indicates the time of the corresponding appearance, with the thickness proportional to the number of occurrences in the given time (C. Chen, 2006).…”
Section: Evolution Of Trending Themesmentioning
confidence: 99%
“…As the core of academic research and the label of disciplinary information, keywords can highly summarize the main content of an article and can reveal the main content features and research directions of a paper (47)(48)(49). Cluster analysis can reveal the close relationship between keywords and their degree of relevance (50).…”
Section: Analysis Of Research Hotspots and Evolutionary Trends Co-...mentioning
confidence: 99%