Structural Abstractions in Brains and Graphs.
Marko Rodriguez compares the brain to a graph saying (in part):
A graph database is a software system that persists and represents data as a collection of vertices (i.e. nodes, dots) connected to one another by a collection of edges (i.e. links, lines). These databases are optimized for executing a type of process known as a graph traversal. At various levels of abstraction, both the structure and function of a graph yield a striking similarity to neural systems such as the human brain. It is posited that as graph systems scale to encompass more heterogenous data, a multi-level structural understanding can help facilitate the study of graphs and the engineering of graph systems. Finally, neuroscience may foster an appreciation and understanding of the various structural abstractions that exist within the graph.
It is a very suggestive post for thinking about graphs and I commend it to you for reading, close reading.