A dynamic social network experiment with multi-team systems
multi-team system, relational event modeling, sequential structural signatures, social media, social network
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
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 Publication Date
DOI of published version
Pilny, Andrew; Yahja, Alex; Poole, Marshall Scott; and Dobosh, Melissa, "A dynamic social network experiment with multi-team systems" (2014). Faculty Publications. 1438.