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Ranking factors of team success

Published: 13 May 2013 Publication History

Abstract

As an increasing number of human activities are moving to the Web, more and more teams are predominantly virtual. Therefore, formation and success of virtual teams is an important issue in a wide range of fields. In this paper we model social behavior patterns of team work using data from virtual communities. In particular, we use data about the Web community of the multiplayer online game Dota 2 to study cooperation within teams. By applying statistical analysis we investigate how and to which extent different factors of the team in the game, such as role distribution, experience, number of friends and national diversity, have an influence on the team's success. In order to complete the picture we also rank the factors according to their influence. The results of our study imply that cooperation within the team is better than competition.

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Published In

cover image ACM Other conferences
WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
May 2013
1636 pages
ISBN:9781450320382
DOI:10.1145/2487788

Sponsors

  • NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
  • CGIBR: Comite Gestor da Internet no Brazil

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2013

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Author Tags

  1. national diversity
  2. online game
  3. statistical analysis
  4. team formation
  5. virtual community

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  • Research-article

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WWW '13
Sponsor:
  • NICBR
  • CGIBR
WWW '13: 22nd International World Wide Web Conference
May 13 - 17, 2013
Rio de Janeiro, Brazil

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WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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  • (2024)Learning experience assessment through players chat content in multiplayer online gamesComputers in Human Behavior10.1016/j.chb.2023.108003151(108003)Online publication date: Feb-2024
  • (2024)Identifying player skill of dota 2 using machine learning pipelineDiscover Artificial Intelligence10.1007/s44163-024-00139-y4:1Online publication date: 28-May-2024
  • (2022)Who will Win the Data Science Competition? Insights from KDD Cup 2019 and BeyondACM Transactions on Knowledge Discovery from Data10.1145/351189616:5(1-24)Online publication date: 5-Apr-2022
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  • (2020)Using communication networks to predict team performance in massively multiplayer online gamesProceedings of the 12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.1109/ASONAM49781.2020.9381481(353-360)Online publication date: 7-Dec-2020
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