I’ve posted the raw data for the class graph in two edge lists:

• class_graph.csv — the original “people whose names you remember” graph
• class_graph_less_dense.csv — the second “people you’ve had a conversation with” graph

Each one of them contains rows with two comma-separated entries: the rememberer, and the remembered.

networkx can load such a .csv file into a graph via:

g = nx.read_edgelist("name-of-file.csv", delimiter=",")

as illustrated in the class_graph.py file I also pushed.



Have fun!