The main goal is to be able to work with big and dense graphs with a low memory footprint.
In this class you add the edges that do not exist in the dense graph, the report methods of the class return the neighbors, the edges and the degree as if it was the dense graph. Thus it's possible to use an instance of this class with some of NetworkX functions. In this case we only use k-core, connected_components, and biconnected_components.
Class for complement graphs.
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them
