TY - JOUR
T1 - Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework
AU - Cedeno-Mieles, Vanessa
AU - Hu, Zhihao
AU - Ren, Yihui
AU - Deng, Xinwei
AU - Adiga, Abhijin
AU - Barrett, Christopher
AU - Contractor, Noshir
AU - Ekanayake, Saliya
AU - Epstein, Joshua M.
AU - Goode, Brian J.
AU - Korkmaz, Gizem
AU - Kuhlman, Chris J.
AU - Machi, Dustin
AU - Macy, Michael W.
AU - Marathe, Madhav V.
AU - Ramakrishnan, Naren
AU - Ravi, S. S.
AU - Saraf, Parang
AU - Self, Nathan
N1 - Funding Information:
We thank the anonymous reviewers for their helpful feedback. We thank our colleagues at NSSAC and computer system administrators: Dominik Borkowski, Jason Decker, Miles Gentry, Jeremy Johnson, William Marmagas, Douglas McMaster, and Kevin Shinpaugh. This work has been partially supported by NSF CRISP 2.0 (Grant No. 1832587), DARPA Cooperative Agreement D17AC00003 (NGS2), DTRA CNIMS (Contract HDTRA1-11-D-0016-0001), DTRA Comprehensive National Incident Management System Contract HDTRA1-17-D-0023, NIH 1R01GM112938-01. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon.
Funding Information:
We thank the anonymous reviewers for their helpful feedback. We thank our colleagues at NSSAC and computer system administrators: Dominik Borkowski, Jason Decker, Miles Gentry, Jeremy Johnson, William Marmagas, Douglas McMaster, and Kevin Shinpaugh. This work has been partially supported by NSF CRISP 2.0 (Grant No. 1832587), DARPA Cooperative Agreement D17AC00003 (NGS2), DTRA CNIMS (Contract HDTRA1-11-D-0016-0001), DTRA Comprehensive National Incident Management System Contract HDTRA1-17-D-0023, NIH 1R01GM112938-01. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon.
Publisher Copyright:
© 2020, Springer-Verlag GmbH Austria, part of Springer Nature.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - Group or collective identity is an individual’s cognitive, moral, and emotional connection with a broader community, category, practice, or institution. There are many different contexts in which collective identity operates, and a host of application domains where collective identity is important. Collective identity is studied across myriad academic disciplines. Consequently, there is interest in understanding the collective identity formation process. In laboratory and other settings, collective identity is fostered through priming a group of human subjects. However, there have been no works in developing agent-based models for simulating collective identity formation processes. Our focus is understanding a game that is designed to produce collective identity within a group. To study this process, we build an online game platform; perform and analyze controlled laboratory experiments involving teams; build, exercise, and evaluate network-based agent-based models; and form and evaluate hypotheses about collective identity. We conduct these steps in multiple abductive iterations of experiments and modeling to improve our understanding of collective identity as this looping process unfolds. Our work serves as an exemplar of using abductive looping in the social sciences. Findings on collective identity include the observation that increased team performance in the game, resulting in increased monetary earnings for all players, did not produce a measured increase in collective identity among them.
AB - Group or collective identity is an individual’s cognitive, moral, and emotional connection with a broader community, category, practice, or institution. There are many different contexts in which collective identity operates, and a host of application domains where collective identity is important. Collective identity is studied across myriad academic disciplines. Consequently, there is interest in understanding the collective identity formation process. In laboratory and other settings, collective identity is fostered through priming a group of human subjects. However, there have been no works in developing agent-based models for simulating collective identity formation processes. Our focus is understanding a game that is designed to produce collective identity within a group. To study this process, we build an online game platform; perform and analyze controlled laboratory experiments involving teams; build, exercise, and evaluate network-based agent-based models; and form and evaluate hypotheses about collective identity. We conduct these steps in multiple abductive iterations of experiments and modeling to improve our understanding of collective identity as this looping process unfolds. Our work serves as an exemplar of using abductive looping in the social sciences. Findings on collective identity include the observation that increased team performance in the game, resulting in increased monetary earnings for all players, did not produce a measured increase in collective identity among them.
KW - Abduction
KW - Abductive loop
KW - Agent-based models
KW - Collective identity
KW - Online social experiments
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U2 - 10.1007/s13278-019-0620-8
DO - 10.1007/s13278-019-0620-8
M3 - Article
AN - SCOPUS:85077504814
SN - 1869-5450
VL - 10
JO - Social Network Analysis and Mining
JF - Social Network Analysis and Mining
IS - 1
M1 - 11
ER -