Research Status, Hotspots, and Evolution Trend of Decision-Making in Marine Management Using VOSviewer and CiteSpace

Abstract

Clarifying the research status, hotspots, and evolution trend of the field of research on decision-making in marine management has certain reference significance for the scholars and decision makers in the field of decision-making in marine management at the theoretical and practical levels. In view of this, this study used 443 pieces of literature retrieved from the Web of Science from 2002 to 2021 as the data source. It adopted the methods of statistical analysis and bibliometric analysis to conduct knowledge mapping visualization analysis in the field of research on decision-making in marine management. The results show that ①there is a high correlation between the level of economic development among countries/regions and the number of publications, and the geographical distribution is closely related to the intensity of research cooperation; ②the research organizations show the characteristics of the diversified distribution. Moreover, although there is no noticeable difference in scientific research output among research organizations, influential research organizations such as NOAA, The Nature Conservancy, and so forth have emerged; ③the author groups as a whole do not show a high cooperation intensity, but there are also scholars with high cooperation intensity within the internal group and other research groups; ④the research hotspots distribution in the field of decision-making in marine management is relatively extensive and belongs to a multidimensional and multiperspective systematic research. Furthermore, the research focuses on subdivision research hotspots mainly involving ecosystem services, knowledge exchange, decision analysis, multicriteria decision, decision support, fisheries management, specific mathematical models and theories, etc; ⑤from the perspective of the evolution trend, it can also be found that different clusters show the evolution trend of overlapping common features and individual features.

Visualizing Status, Hotspots, and Future Trends in Mathematical Literacy Research via Knowledge Graph

“…Conversely, the larger the value of cluster ID, the smaller the values of size and silhouette will be. The higher the silhouette value, the higher the consistency among the cluster members [55]. As shown in Table 6, the values of silhouette are all above 0.85, indicating a high consistency among the members of the first ten clusters, which further verifies the significant clustering effect of this research and the credibility of the results.…”

“…Keywords, centrality, and word frequency are the key facto in measuring the extent of keywords, and the value of centrality is positively correlate with the volume of keywords in the network, which is an index used to measure th importance of nodes in the network. Important keywords are those with a centrali greater than 0.1 [55,56]. The calculation formula is hievement.…”

Operational Risk Management of Public–Private Partnership Infrastructure Projects: A Bibliometric Literature Review

“…Through the network map, clusters and their connections are presented, where highly centralized nodes indicate theme concentrations and research focus. Centrality is an important influencing factor for measuring network nodes [43], which reflects the number of node-to-node connections by calculating the degree of centrality without considering the direction and number of connections [44].…”

Charting the Research Terrain for Large Old Trees: Findings from a Quantitative Bibliometric Examination in the Twenty-First Century

“…The knowledge map can help researchers identify hotspots, changes in the knowledge structure, and institution and personnel collaboration relationships. These elaborate analytical outcomes support research plan formulation and foster new knowledge discovery [17]. Therefore, the greatest value of VOSviewer is its integration of knowledge map construction, visualization, and analysis [18].…”

“…It offers scholars a practical, rigorous, and powerful bibliometric analysis tool. Similar bibliometric software such as CiteSpace can achieve most VOSviewer functions [8,17,19]. CiteSpace is a powerful informetric analysis and visualization tool that allows researchers to understand the patterns and dynamics in scholarly publications and citations within a field of study and their evolution over time [20].…”