Application of Graph and Network Theory in Game Analysis

This paper uses graph theory and networks to model the behavior and strategies of a computer character in a game. The study was conducted on the character Hwoarang from the game TEKKEN 8. Based on his game information, a multigraph maps the transitions between different combat positions. The graph's vertices represent combat positions, while the directed, weighted edges correspond to the sequences of blows enabling the transitions between them. Combat positions are vertices, and the edges correspond to the sequences of blows, enabling the transitions between them. Cycles, paths, and Hamiltonian paths werefound, and fundamental graph analysis was performed. The study showed that graph-based models can effectively describe and support the development of character movement and combat strategies in computer game environments.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-08
DOI
https://doi.org/10.5281/zenodo.15361883
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Graph and Network Theory in Game Analysis

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Games
article

Application of Graph and Network Theory in Game Analysis

article en

Abstract

This paper uses graph theory and networks to model the behavior and strategies of a computer character in a game. The study was conducted on the character Hwoarang from the game TEKKEN 8. Based on his game information, a multigraph maps the transitions between different combat positions. The graph's vertices represent combat positions, while the directed, weighted edges correspond to the sequences of blows enabling the transitions between them. Combat positions are vertices, and the edges correspond to the sequences of blows, enabling the transitions between them. Cycles, paths, and Hamiltonian paths werefound, and fundamental graph analysis was performed. The study showed that graph-based models can effectively describe and support the development of character movement and combat strategies in computer game environments.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 77%
Artificial Intelligence in Games
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Application of Graph and Network Theory in Game Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS