game_thrones — Game of Thrones and A Song of Ice and Fire character interactions

Description

Networks of interactions between the characters of George R. R. Martin's fantasy series "A Song of Ice and Fire" and of its TV adaptation, HBO's "Game of Thrones", compiled by A. Beveridge and collaborators. Nodes are characters, and edges are undirected and weighted by the number of interactions between the two characters.

In the networks of the books, two characters are connected whenever their names (or nicknames) appear within 15 words of each other in the text. The first network, stormofswords, is the original network of the third book, "A Storm of Swords", of Beveridge and Shan (2016), with 107 characters and only the pairs that co-occur at least 4 times. The other book networks are the later versions in the author's GitHub repository mathbeveridge/asoiaf, which contain only the pairs that co-occur at least 3 times: one network per book, book1 ("A Game of Thrones"), book2 ("A Clash of Kings"), book3 ("A Storm of Swords"), book4 ("A Feast for Crows") and book5 ("A Dance with Dragons"), a network book45 of books 4 and 5 together (which tell simultaneous events), and a network all_books of all five books.

In the networks of the TV series (from the repository mathbeveridge/gameofthrones), one per season, season1, ..., season8, the interactions were extracted from fan-made scripts of the episodes (from genius.com): two characters A and B interact whenever A speaks directly after B, A speaks about B, a third character speaks about both A and B, A and B are mentioned in the same stage direction, or A and B appear in a scene together. Only the pairs with at least 2 interactions in a season are included in the data. The data of seasons 5 and 6 contain one pair twice each (Mace and Meryn Trant in season 5, Bowen Marsh and Othell Yarwyck in season 6), with different weights; both are kept, as parallel edges.

The networks have the following properties:

name: the character's name (in the networks of the TV series, often only the first name).
id: the identifier of the character in the data (not present in stormofswords).
weight (edges): the number of interactions of the two characters.

Tags

Social Fictional Weighted Multigraph

Citation

A. Beveridge and J. Shan, "Network of Thrones." Math Horizons 23(4), 18-22 (2016) 10.4169/mathhorizons.23.4.18 Sci-Hub
A. Beveridge and M. Chemers, "The Game of Game of Thrones: Networked Concordances and Fractal Dramaturgy." In: P. Brembilla and I. A. De Pascalis (eds.), Reading Contemporary Serial Television Universes: A Narrative Ecosystem Framework, Routledge, 201-225 (2018) 10.4324/9781315114668-13 Sci-Hub

Upstream URL OK

https://web.archive.org/web/20220308184757/https://www.macalester.edu/~abeverid/data/stormofswords.csv
https://github.com/mathbeveridge/asoiaf
https://github.com/mathbeveridge/gameofthrones

Upstream license

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), https://creativecommons.org/licenses/by-nc-sa/4.0/

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
stormofswords	107	352	6.58	6.58	11.74	14.10	-0.13	0.33	6	1.00	Undirected	Unipartite	name	weight	4 KiB	6 KiB	6 KiB	5 KiB
book1	187	684	7.32	9.88	18.22	16.65	-0.16	0.33	7	1.00	Undirected	Unipartite	name id	weight	7 KiB	11 KiB	11 KiB	8 KiB
book2	259	775	5.98	8.13	15.79	16.57	-0.10	0.30	8	1.00	Undirected	Unipartite	name id	weight	9 KiB	14 KiB	13 KiB	11 KiB
book3	303	1,008	6.65	8.72	16.53	26.29	-0.11	0.28	8	1.00	Undirected	Unipartite	name id	weight	11 KiB	17 KiB	16 KiB	13 KiB
book4	274	682	4.98	6.85	12.37	128.31	-0.14	0.22	10	1.00	Undirected	Unipartite	name id	weight	9 KiB	14 KiB	14 KiB	11 KiB
book5	317	760	4.79	6.80	9.98	59.95	-0.21	0.20	8	1.00	Undirected	Unipartite	name id	weight	11 KiB	16 KiB	16 KiB	12 KiB
book45	506	1,329	5.25	7.84	13.78	30.12	-0.17	0.20	10	1.00	Undirected	Unipartite	name id	weight	16 KiB	25 KiB	24 KiB	19 KiB
all_books	796	2,823	7.09	12.68	26.56	16.43	-0.12	0.21	9	1.00	Undirected	Unipartite	name id	weight	26 KiB	40 KiB	39 KiB	32 KiB
season1	126	549	8.71	9.41	17.23	10.14	-0.12	0.38	6	1.00	Undirected	Unipartite	name id	weight	6 KiB	8 KiB	8 KiB	6 KiB
season2	129	486	7.53	7.17	14.43	25.48	0.04	0.42	6	0.89	Undirected	Unipartite	name id	weight	6 KiB	8 KiB	8 KiB	6 KiB
season3	124	504	8.13	6.19	12.79	31.21	0.07	0.48	7	1.00	Undirected	Unipartite	name id	weight	5 KiB	8 KiB	8 KiB	6 KiB
season4	172	667	7.76	7.57	15.74	39.91	-0.01	0.44	8	0.98	Undirected	Unipartite	name id	weight	7 KiB	11 KiB	10 KiB	8 KiB
season5	119	397	6.67	5.58	9.54	29.62	-0.20	0.41	8	1.00	Undirected	Unipartite	name id	weight	5 KiB	8 KiB	7 KiB	6 KiB
season6	142	542	7.63	6.32	12.53	51.22	-0.00	0.46	7	0.94	Undirected	Unipartite	name id	weight	6 KiB	9 KiB	9 KiB	7 KiB
season7	81	412	10.17	9.17	16.86	3.52	-0.12	0.47	5	1.00	Undirected	Unipartite	name id	weight	4 KiB	6 KiB	6 KiB	5 KiB
season8	74	553	14.95	12.92	24.78	3.82	-0.10	0.64	6	0.97	Undirected	Unipartite	name id	weight	4 KiB	6 KiB	6 KiB	5 KiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.