VOSviewer VOSviewer is a software tool for constructing and visualizing bibliometric networks. These networks may for instance include journals, researchers, or individual publications, and they can be constructed based on citation, bibliographic coupling, co-citation, or co-authorship relations. VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature. -- Official website: https://www.vosviewer.com/ It is a free software can download from its official website with its manual (https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.15.pdf) Data preparation Identify keywords of the chosen topic Draw articles by the keywords from databases Purposeful visualisation Determine the purposes of the visualisation Select associated functions Layout optimisation Determine the expected level of details upon your interpretation intentions Change parameters 1. Data preparation (database Scopus for example) Search the keywords Use “” to include Combined keywords Use * to include waste & wastes Results of the keywords Narrow down the scope with left sidebar Publication year, Language, Document type are the most generic filter parameters. Export selected date 2. Purposeful visualisation Import CSV document The applications and analysis units of VOSviewer Keywords analysis for the example in this introduction, you can explore other applications by yourself with the Manual Network Visualization shows the relationships and occurrence of keywords Overlay visualisation depicts the freshness of keywords Density visualisation displays the research hotspots 3.Layout optimisation The searched term would be obviously the most influential topics that it is better to be removed to only show the landscape of the related research topics under the searched keywords framed theme. 4 keywords clusters: Blue-waste management, Green-environment focused, Red-demolition waste treatment, Yellow-recycling applications focused
