Knowledge Networks
- List Item #1
Scientific Collaboration
This network offers a glimpse into the collaborations that transpired among scientists during the pandemic. In this visualization, each circle (node) represents an individual author, and a line (edge) connecting two authors signifies they have co-authored at least one scientific publication.
The layout of the network is determined by the Force Atlas 2 algorithm, which visually organizes the data based on connections. This algorithm pulls authors who collaborate frequently closer together, causing them to form visible clusters. These clusters reveal the most interconnected research teams and core groups of scientists who were at the center of knowledge production. By observing the density and position of these clusters, we can better understand the structure and intensity of scientific collaboration during a critical period of global research.
- List Item #1
Institutional Collaboration
This depiction in the form of a network offers a glimpse into the collaborations that transpired during the pandemic between different institutions.
In this visual, each circle (or node) represents an organization—be it a university, a hospital, or some other group. A line (edge) is drawn between two institutions when their researchers co-authored a paper.
We’ve used the Force Atlas 2 algorithm to arrange everything. It works by pulling institutions that team up a lot closer together, which naturally forms visible clusters. By looking at these clusters, you can see which organizations worked most intensely with each other. This gives us a clear look at the central hubs and partnerships that drove research, helping us understand the cooperative structure that responded to the pandemic on a global scale.
- List Item #1
International Collaboration
This network visualizes the worldwide partnerships in COVID-19 research. Each node represents a country, and a line (edge) connecting two countries means that researchers from those nations co-authored a scientific paper.
To organize this data, we’ve used the Force Atlas 2 algorithm. The layout pulls countries that teamed up frequently closer together, creating visible clusters that highlight regions or groups of nations with strong collaborative ties. By exploring this network, you can identify the most central countries in global research and understand how different parts of the world connected to produce scientific knowledge during the pandemic.
