Data analysis and modeling pipelines for controlled networked social science experiments.

Data analysis and modeling pipelines for controlled networked social science experiments.

There is large interest in networked social science experiments for understanding human behavior at-scale. Significant effort is required to perform data analytics on experimental outputs and for computational modeling of custom experiments. Moreover, experiments and modeling are often performed in...

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Bibliographic Details
Main Authors: Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Noshir Contractor, Saliya Ekanayake, Joshua M Epstein, Brian J Goode, Gizem Korkmaz, Chris J Kuhlman, Dustin Machi, Michael Macy, Madhav V Marathe, Naren Ramakrishnan, Parang Saraf, Nathan Self
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0242453

Internet

https://doi.org/10.1371/journal.pone.0242453

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