Analysis of offense tactics of basketball games using link prediction

Tao Zhang, Gongzhu Hu, Qi Liao

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

6 Scopus citations

Abstract

Every basketball game has a lot of game records, also called match data. All the data are not only statistical but also logical and spatial. People normally use these kind of data to obtain statistical or summarized information of the games, but few have used these data to analyze the teams' tactics. In this paper, we present an approach to analyze the match data for detecting basketball teams' tactic using link prediction method. The main idea is to create a measure for the team offense tactics based on the Basketball Analysis Graph (BA graph) and use link prediction to extract the information about the cooperation between teammates and offense priority. The information may be used for basketball game strategy assistance.

Original languageEnglish
Title of host publication2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings
Pages207-212
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Niigata, Japan
Duration: Jun 16 2013Jun 20 2013

Publication series

Name2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings

Conference

Conference2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013
Country/TerritoryJapan
CityNiigata
Period06/16/1306/20/13

Keywords

  • Katz measure
  • basketball offense tactics
  • game strategy assistance
  • link prediction
  • social networks

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