A Congressional Twitter network dataset quantifying pairwise probability of influence
We present a social network dataset based on interactions between members of the 117th United States Congress between Feb. 9, 2022, and June 9, 2022. The dataset takes the form of a directed, weighted network in which the edge weights are empirically obtained “probabilities of influence” between all...
Main Authors: | Christian G. Fink, Nathan Omodt, Sydney Zinnecker, Gina Sprint |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-10-01
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Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923006212 |
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