Data analysis and modeling pipelines for controlled networked social science experiments.
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| Title: | Data analysis and modeling pipelines for controlled networked social science experiments. |
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| Authors: | Cedeno-Mieles V; Department of Computer Science, Virginia Tech, Blacksburg, VA, United States of America.; Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador., Hu Z; Department of Statistics, Virginia Tech, Blacksburg, VA, United States of America., Ren Y; Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States of America., Deng X; Department of Statistics, Virginia Tech, Blacksburg, VA, United States of America., Contractor N; Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, United States of America., Ekanayake S; Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America., Epstein JM; Department of Epidemiology, New York University, New York, NY, United States of America., Goode BJ; Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States of America., Korkmaz G; Biocomplexity Institute & Initiative, University of Virginia, Charlottesville, VA, United States of America., Kuhlman CJ; Biocomplexity Institute & Initiative, University of Virginia, Charlottesville, VA, United States of America., Machi D; Biocomplexity Institute & Initiative, University of Virginia, Charlottesville, VA, United States of America., Macy M; Department of Sociology, Cornell University, Ithaca, NY, United States of America., Marathe MV; Biocomplexity Institute & Initiative, University of Virginia, Charlottesville, VA, United States of America.; Department of Computer Science, University of Virginia, Charlottesville, VA, United States of America., Ramakrishnan N; Department of Computer Science, Virginia Tech, Blacksburg, VA, United States of America.; Discovery Analytics Center, Virginia Tech, Blacksburg, VA, United States of America., Saraf P; Discovery Analytics Center, Virginia Tech, Blacksburg, VA, United States of America., Self N; Discovery Analytics Center, Virginia Tech, Blacksburg, VA, United States of America. |
| Source: | PloS one [PLoS One] 2020 Nov 24; Vol. 15 (11), pp. e0242453. Date of Electronic Publication: 2020 Nov 24 (Print Publication: 2020). |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0242453 |
