I have a feeling like people like to render large graphs just for visualizations. I yet didn't encounter a use case where someone would look at a graph of a mil

I have a feeling like people like to render large graphs just for visualizations. I yet didn't encounter a use case where someone would look at a graph of a million visualized nodes and said: "Oh I see, this is what's happening!" or some other information. But then again, you don't do that at all when dealing with relational databases as well But I guess the biggest advantage lies in shallow hop visualizations (up to 10), where there is a smaller number of nodes, let's say a 100, but you can clearly understand what's happening because you can process all of the connections at first glance. And even in the real life use cases, such as fraud detection, it's never going to be a million person organization that steals you money and resources, but a group of people closely tied together, which you can quickly inspect and look at, whereas looking at tabular data does not connect the dots. You can draw a parallel when detectives marked the maps with needles and strings to connect the murder cases. Of course they didn't put a million needles on the wall, but a 100 of them was sufficient for inference.