Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments

WSC, pp. 774-785, 2018.

Cited by: 0|Bibtex|Views70|DOI:https://doi.org/10.1109/WSC.2018.8632478
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

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 desi...More

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