Programming Languages Influence Network by Ramiro Gómez.
From the about tab:
This interactive visualization shows a network graph of programming language influences. The graph consists of 1169 programming language nodes and 908 edges that signify an influence relation.
The size of a node is determined by its out degree. The more influential a language is across all languages in the network, the bigger is the corresponding node in the network.
There are several ways of interaction: you can restrict the network to languages within a programming paradigm; you can choose between a Force Atlas 2 and a random graph layout; and you can highlight the connections of a language by moving the mouse over its node. For more details click on the help link in the top menu.
Impressive graphics/visualization!
Suggestive of techniques for other networks of “influence.”