A dynamic social network experiment with multi-team systems

Andrew Pilny; Alex Yahja; Marshall Scott Poole; Melissa Dobosh

doi:10.1109/BDCloud.2014.81

A dynamic social network experiment with multi-team systems

Andrew Pilny, Alex Yahja, Marshall Scott Poole, Melissa Dobosh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

This paper describes the use of VBS High-Fidelity 3D Game to perform experiments on multi-team systems. Multi-team systems (MTS) are a natural part of human social phenomena and online social networks as people form groups with shared goals and interests. We gathered data on human players (on communications and interactions) who were engaged in a VBS game scenario. Using Relational Event Modeling (REM), we analyzed the results. The results suggest some synchronization and cross-team communication have both direct effects with team performance and, in some cases, can moderate the effect of false information in environments of uncertainty.

Original language	English
Title of host publication	Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014
Editors	Jinjun Chen, Laurence T. Yang
Pages	587-593
Number of pages	7
ISBN (Electronic)	9781479967193
DOIs	https://doi.org/10.1109/BDCloud.2014.81
State	Published - 2014
Event	4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 - Sydney, Australia Duration: Dec 3 2014 → Dec 5 2014

Publication series

Name	Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014

Conference

Conference	4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014
Country/Territory	Australia
City	Sydney
Period	12/3/14 → 12/5/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

multi-team system
relational event modeling
sequential structural signatures
social media
social network

ASJC Scopus subject areas

Software
Computer Networks and Communications

Access to Document

10.1109/BDCloud.2014.81

Cite this

Pilny, A., Yahja, A., Poole, M. S., & Dobosh, M. (2014). A dynamic social network experiment with multi-team systems. In J. Chen, & L. T. Yang (Eds.), Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014 (pp. 587-593). Article 7034846 (Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014). https://doi.org/10.1109/BDCloud.2014.81

Pilny, Andrew ; Yahja, Alex ; Poole, Marshall Scott et al. / A dynamic social network experiment with multi-team systems. Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014. editor / Jinjun Chen ; Laurence T. Yang. 2014. pp. 587-593 (Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014).

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title = "A dynamic social network experiment with multi-team systems",

abstract = "This paper describes the use of VBS High-Fidelity 3D Game to perform experiments on multi-team systems. Multi-team systems (MTS) are a natural part of human social phenomena and online social networks as people form groups with shared goals and interests. We gathered data on human players (on communications and interactions) who were engaged in a VBS game scenario. Using Relational Event Modeling (REM), we analyzed the results. The results suggest some synchronization and cross-team communication have both direct effects with team performance and, in some cases, can moderate the effect of false information in environments of uncertainty.",

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author = "Andrew Pilny and Alex Yahja and Poole, {Marshall Scott} and Melissa Dobosh",

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doi = "10.1109/BDCloud.2014.81",

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editor = "Jinjun Chen and Yang, {Laurence T.}",

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Pilny, A, Yahja, A, Poole, MS & Dobosh, M 2014, A dynamic social network experiment with multi-team systems. in J Chen & LT Yang (eds), Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014., 7034846, Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014, pp. 587-593, 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014, Sydney, Australia, 12/3/14. https://doi.org/10.1109/BDCloud.2014.81

A dynamic social network experiment with multi-team systems. / Pilny, Andrew; Yahja, Alex; Poole, Marshall Scott et al.
Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014. ed. / Jinjun Chen; Laurence T. Yang. 2014. p. 587-593 7034846 (Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper describes the use of VBS High-Fidelity 3D Game to perform experiments on multi-team systems. Multi-team systems (MTS) are a natural part of human social phenomena and online social networks as people form groups with shared goals and interests. We gathered data on human players (on communications and interactions) who were engaged in a VBS game scenario. Using Relational Event Modeling (REM), we analyzed the results. The results suggest some synchronization and cross-team communication have both direct effects with team performance and, in some cases, can moderate the effect of false information in environments of uncertainty.

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Pilny A, Yahja A, Poole MS, Dobosh M. A dynamic social network experiment with multi-team systems. In Chen J, Yang LT, editors, Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014. 2014. p. 587-593. 7034846. (Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014). doi: 10.1109/BDCloud.2014.81

A dynamic social network experiment with multi-team systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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