Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework

• Published in: Social network analysis and mining Vol. 10; no. 1; p. 11
• Main Authors: Cedeno-Mieles, Vanessa, Hu, Zhihao, Ren, Yihui, Deng, Xinwei, Adiga, Abhijin, Barrett, Christopher, Contractor, Noshir, Ekanayake, Saliya, Epstein, Joshua M., Goode, Brian J., Korkmaz, Gizem, Kuhlman, Chris J., Machi, Dustin, Macy, Michael W., Marathe, Madhav V., Ramakrishnan, Naren, Ravi, S. S., Saraf, Parang, Self, Nathan
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01.12.2020; Springer Nature B.V
• Subjects: Academic disciplines; Agent-based models; Applications of Graph Theory and Complex Networks; Computer & video games; Computer Science; Data Mining and Knowledge Discovery; Earnings; Economics; Experiments; Game Theory; Games; Group identity; Group performance; Human subjects; Humanities; Identity formation; International relations; Iterative methods; Laboratories; Law; Methodology of the Social Sciences; Modelling; Original Article; Priming; Religious identity; Research subjects; Social and Behav. Sciences; Social sciences; Statistics for Social Sciences; Teams; Understanding; Agent-based models; Abductive loop; Online social experiments; Abduction; Collective identity

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....