Pipelines and their compositions for modeling and analysis of controlled online networked social science experiments

Vanessa Cedeno-Mieles; Zhihao Hu; Xinwei Deng; Noshir Contractor; Yihui Ren; Saliya Ekanayake; Brian J. Goode; Chris J. Kuhlman; Dustin Machi; Madhav V. Marathe; Henning H. Mortveit; Naren Ramakrishnan; Parang Saraf; Nathan Self; Joshua M. Epstein; Michael W. Macy

doi:10.1109/WSC.2018.8632478

Pipelines and their compositions for modeling and analysis of controlled online networked social science experiments

Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Noshir Contractor, Yihui Ren, Saliya Ekanayake, Brian J. Goode, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Henning H. Mortveit, Naren Ramakrishnan, Parang Saraf, Nathan Self, Joshua M. Epstein, Michael W. Macy

Global Public Health

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

Abstract

There has been significant growth in online social science experiments in order to understand behavior at-scale, with finer-grained data collection. Considerable work is required to perform data analytics for custom experiments. We also seek to perform repeated networked experiments and modeling in an iterative loop. In this work, we design and build four composable and extensible automated software pipelines for (1) data analytics; (2) model property inference; (3) model/simulation; and (4) results analysis and comparisons between experimental data and model predictions. To reason about experiments and models, we design a formal data model. Our data model is for scenarios where subjects can repeat actions (from a set) any number of times over the game duration. Because the types of interactions and action sets are flexible, this class of experiments is large. Two case studies, on collective identity and complex contagion, illustrate use of the system.

Original language	English (US)
Title of host publication	WSC 2018 - 2018 Winter Simulation Conference
Subtitle of host publication	Simulation for a Noble Cause
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	774-785
Number of pages	12
ISBN (Electronic)	9781538665725
DOIs	https://doi.org/10.1109/WSC.2018.8632478
State	Published - Jul 2 2018
Event	2018 Winter Simulation Conference, WSC 2018 - Gothenburg, Sweden Duration: Dec 9 2018 → Dec 12 2018

Publication series

Name	Proceedings - Winter Simulation Conference
Volume	2018-December
ISSN (Print)	0891-7736

Conference

Conference	2018 Winter Simulation Conference, WSC 2018
Country/Territory	Sweden
City	Gothenburg
Period	12/9/18 → 12/12/18

ASJC Scopus subject areas

Software
Modeling and Simulation
Computer Science Applications

Access to Document

10.1109/WSC.2018.8632478

Cite this

Cedeno-Mieles, V., Hu, Z., Deng, X., Contractor, N., Ren, Y., Ekanayake, S., Goode, B. J., Kuhlman, C. J., Machi, D., Marathe, M. V., Mortveit, H. H., Ramakrishnan, N., Saraf, P., Self, N., Epstein, J. M., & Macy, M. W. (2018). Pipelines and their compositions for modeling and analysis of controlled online networked social science experiments. In WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause (pp. 774-785). Article 8632478 (Proceedings - Winter Simulation Conference; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2018.8632478

Pipelines and their compositions for modeling and analysis of controlled online networked social science experiments. / Cedeno-Mieles, Vanessa; Hu, Zhihao; Deng, Xinwei et al.
WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause. Institute of Electrical and Electronics Engineers Inc., 2018. p. 774-785 8632478 (Proceedings - Winter Simulation Conference; Vol. 2018-December).

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

Cedeno-Mieles, V, Hu, Z, Deng, X, Contractor, N, Ren, Y, Ekanayake, S, Goode, BJ, Kuhlman, CJ, Machi, D, Marathe, MV, Mortveit, HH, Ramakrishnan, N, Saraf, P, Self, N, Epstein, JM & Macy, MW 2018, Pipelines and their compositions for modeling and analysis of controlled online networked social science experiments. in WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause., 8632478, Proceedings - Winter Simulation Conference, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 774-785, 2018 Winter Simulation Conference, WSC 2018, Gothenburg, Sweden, 12/9/18. https://doi.org/10.1109/WSC.2018.8632478

Cedeno-Mieles V, Hu Z, Deng X, Contractor N, Ren Y, Ekanayake S et al. Pipelines and their compositions for modeling and analysis of controlled online networked social science experiments. In WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause. Institute of Electrical and Electronics Engineers Inc. 2018. p. 774-785. 8632478. (Proceedings - Winter Simulation Conference). doi: 10.1109/WSC.2018.8632478

Cedeno-Mieles, Vanessa ; Hu, Zhihao ; Deng, Xinwei et al. / Pipelines and their compositions for modeling and analysis of controlled online networked social science experiments. WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 774-785 (Proceedings - Winter Simulation Conference).

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Pipelines and their compositions for modeling and analysis of controlled online networked social science experiments

Abstract

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