Towards quantifying interaction networks in a football match

Oliver M. Cliff, Joseph T. Lizier, Rosalind X. Wang, Peter Wang, Oliver Obst, Mikhail Prokopenko

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

11 Citations (Scopus)


We present several novel methods quantifying dynamic interactions in simulated football games. These interactions are captured in directed networks that represent significant coupled dynamics, detected information-theoretically. The model-free approach measures information dynamics of both pair-wise players' interactions as well as local tactical contests produced during RoboCup 2D Simulation League games. This analysis involves computation of information transfer and storage, relating the information transfer to responsiveness of the players and the team, and the information storage within the team to the team's rigidity and lack of tactical flexibility. The resultant directed networks (interaction diagrams) and the measures of responsiveness and rigidity reveal implicit interactions, across teams, that may be delayed and/or long-ranged. The analysis was verified with a number of experiments, identifying the zones of the most intense competition and the extent of interactions.

Original languageEnglish
Title of host publicationRoboCup 2013
Subtitle of host publicationRobot World Cup XVII
EditorsSven Behnke, Manuela Veloso, Arnoud Visser, Rong Xiong
Place of PublicationBerlin, Heidelberg
PublisherSpringer, Springer Nature
Number of pages12
ISBN (Electronic)9783662444689
ISBN (Print)9783662444672
Publication statusPublished - 2014
Externally publishedYes
Event17th RoboCup International Symposium, RoboCup 2013 - Eindhoven, Netherlands
Duration: 1 Jul 20131 Jul 2013

Publication series

NameLecture Notes in artificial intelligence (subseries of Lecture Notes in Computer Science)
PublisherSpringer-Verlag Berlin Heidelberg
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other17th RoboCup International Symposium, RoboCup 2013


Dive into the research topics of 'Towards quantifying interaction networks in a football match'. Together they form a unique fingerprint.

Cite this