This repository contains the data and code for a Neo4j knowledge graph. It was developed for my master’s thesis dedicated to mapping and analysing the narrative and cultural network surrounding the video game Life Is Strange (DON'T NOD, 2015).
The project connects characters, events, locations, creative works, and other artistic references through a model built in Neo4j in order to explore the intertextual dialogue between the case study and the cultural influences that shaped its development.
- Total nodes: 507
- Total relationships: 3,218
- Database type: Neo4j AuraDB Free instance, exported via Neo4j Desktop 1.6.3
- Data format:
.cypher/.cqland.csv - License: GNU General Public License v3.0
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code/– full graph export in Cypher formatlisgraph.cypher— complete.cyphersnapshot of the graphREADME.md— documentation of the Cypher export
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csv-package/– nodes and relationships in CSV formatdata/nodes/— 18 node tables (one per label)relationships/— 21 relationship tables (one per relationship type)constraints.cypher— unique constraints for consistent importREADME.md— information and general instructionswork_label.cql— script to assign theWorksuperlabel after import
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LICENSE— GNU General Public License v3.0
Book, Character, Episode, Event, Film, Franchise,
Location, MusicAlbum, MusicGroup, MusicTrack,
Narration, Narrative, NarrativeTrope, Object,
Person, Theme, TVSeries, VideoGame
Creative works (
Book,Film,Franchise,MusicAlbum,MusicTrack,TVSeries,VideoGame) also carry the common labelWork.
ALTERNATIVE_TO, APPEARS_IN, CHOICE, HAS_CHARACTER,
HAS_COMPONENT, HAS_EPISODE, HAS_REFERENCE, HAS_RELATIONSHIP,
HAS_SETTING, HAS_THEME, HAS_TROPE, IS_FEATURED_IN,
IS_PLAYED_BY, LOCATED_IN, MENTIONED_IN, OCCURS_BEFORE,
OF_NARRATIVE, OWNED_BY, PART_OF, PART_OF_NARRATIVE, REALISES
- The
.cypherversion allows full database reconstruction in a single command. - The
.csvversion allows modular import and editing of specific graph components. - All files can be used in Neo4j Desktop, AuraDB, or the new Neo4j application (2.0 and above).
For the methodological framework, project description, and research analysis, see the accompanying thesis repository here: https://github.com/ariadne28/Master-s-thesis
Denitto, Arianna. 2025. 'Inside Life Is Strange. Exploring Video Game Intertextuality through a Neo4j Knowledge Graph'. GitHub repository. Università di Torino. https://github.com/ariadne28/Inside-Life-Is-Strange.