@KarenStrickholm nice to meet you Karen. You are looking at a network with a specific structure: it consists of clusters of nodes that are densely connected with each other, and much more sparsely with nodes outside the cluster. This property is called modularity: the easier to identity dense clusters are, the higher the network's modularity. I believe this was a social network of some kind.
@KarenStrickholm when you induce a network you must define precisely what a link represents. For example, nodes could stand for families in a village, and links for whether any pair of families visited each other in the year 2015. Or nodes could be the chemical sector companies of Albania, and links represent purchases from one to another and so on.
@KarenStrickholm to make inference on the property or dynamics of the system being represented. Networks are good at "whole system" representation. Or just to make pretty pictures 😁
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