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TV Series - Networks of characters
Version 11 2017-01-11, 21:10
Version 10 2016-04-25, 08:19
Version 9 2016-02-23, 16:17
Version 8 2016-02-20, 12:03
Version 7 2016-02-20, 10:14
Version 6 2016-02-20, 10:05
Version 5 2016-02-19, 15:14
Version 4 2016-02-18, 10:11
Version 3 2016-02-18, 09:43
Version 2 2016-02-15, 15:48
Version 1 2016-02-15, 15:14
dataset
posted on 2017-01-11, 21:10 authored by Xavier BostXavier Bost, Vincent LabatutVincent Labatut, Georges LinarèsSets of files related to the social networks of characters in the following episodes of 3 TV series:
- Breaking Bad (BB): S01 - - S03.
- Game of Thrones (GoT): S01--05.
- House of Cards (HoC): S01 - S02.
The three separate graphml files (.graphml extension) contain the static, cumulative, conversational networks at the end of the set of episodes considered.
Three images (.jpg extension) of the resulting static, cumulative, conversational networks at the end of the first two seasons are also provided.
The compressed archives (.tgz extension) provide snapshots of the conversational network of characters (graphml format) in every scene. These files come in three flavours:
1/ 'Narrative smoothing' based networks (denoted 'ns').
2/ Time-slice based networks, where all interactions are agglomerated every 10 scenes (denoted 'ts10').
3/ Time-slice based networks, where all interactions are agglomerated every 40 scenes (denoted 'ts40').
The video files (.mp4 extension) contain short animations of the dynamic networks of characters as they evolve over the whole set of episodes considered:
- The nodes are represented by the names of the corresponding characters and the distance between two character names is inversely proportional to the weight of the corresponding edge: the closer they are at some point of the story, the more they interact then.
- The size of each character name is proportional to the local strength of the corresponding character at the moment considered.
- The color of each character name corresponds to his community at any moment.
Each snapshot in these animations is based on our 'narrative smoothing' approach.
Reference:
Xavier Bost, Vincent Labatut, Georges Linarès. Narrative smoothing: dynamic conversational network for the analysis of TV Series plots, 2016.
https://hal.archives-ouvertes.fr/hal-01276708
http://arxiv.org/abs/1602.07811
- Breaking Bad (BB): S01 - - S03.
- Game of Thrones (GoT): S01--05.
- House of Cards (HoC): S01 - S02.
The three separate graphml files (.graphml extension) contain the static, cumulative, conversational networks at the end of the set of episodes considered.
Three images (.jpg extension) of the resulting static, cumulative, conversational networks at the end of the first two seasons are also provided.
The compressed archives (.tgz extension) provide snapshots of the conversational network of characters (graphml format) in every scene. These files come in three flavours:
1/ 'Narrative smoothing' based networks (denoted 'ns').
2/ Time-slice based networks, where all interactions are agglomerated every 10 scenes (denoted 'ts10').
3/ Time-slice based networks, where all interactions are agglomerated every 40 scenes (denoted 'ts40').
The video files (.mp4 extension) contain short animations of the dynamic networks of characters as they evolve over the whole set of episodes considered:
- The nodes are represented by the names of the corresponding characters and the distance between two character names is inversely proportional to the weight of the corresponding edge: the closer they are at some point of the story, the more they interact then.
- The size of each character name is proportional to the local strength of the corresponding character at the moment considered.
- The color of each character name corresponds to his community at any moment.
Each snapshot in these animations is based on our 'narrative smoothing' approach.
Reference:
Xavier Bost, Vincent Labatut, Georges Linarès. Narrative smoothing: dynamic conversational network for the analysis of TV Series plots, 2016.
https://hal.archives-ouvertes.fr/hal-01276708
http://arxiv.org/abs/1602.07811
