January 2018
Beginner to intermediate
262 pages
6h 3m
English
Content preview from Complex Network Analysis in Python
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iGraph
Here’s how iGraph deals with the Lincoln graph. The edge list contains numerical node identifiers rather than labels, but you can add the labels later as node attributes.
| | import igraph |
| | edges = [(1, 6), (1, 7), (1, 5), (1, 12), (2, 4), (2, 9), (3, 13), (7, 0), |
| | (7, 2), (7, 3), (8, 1), (8, 10), (8, 11)] |
| | labels = [ |
| | "A.L. II", "A.L.", "Thomas L.", "Jessie Harlan L.", "Mary L. Beckwith", |
| | "Sarah L. Grigsby", "Edward Baker L.", "Mary L.", "William Wallace L.", |
| | "Robert Todd L.", "Robert Todd L. Beckwith", "Thomas L. Jr.", |
| | "Thomas L. III", "L. Isham", "George W."] |
| | G = igraph.Graph(edges, directed=True) |
| | G.add_vertex(14) |
| | G.vs["name"] = labels |
| | print(G) |
| <= | IGRAPH DN-- 15 13 -- |
| | + attr: name (v) ... |
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