a_sign_of_the_times.xlsx (13.91 MB)
A Sign of the Times: Weak and strong polarization in the U.S. Congress, 1973-2016
Version 3 2020-01-08, 14:32
Version 2 2019-05-13, 11:34
Version 1 2019-05-08, 17:37
dataset
posted on 2019-05-13, 11:34 authored by Zachary NealZachary NealEach tab contains the signed network for a chamber of congress (H = House, S = Senate) in one session (e.g. 93 = 93rd session of congress).
The first row identifies the representative or senator, with their party affiliation and state; these are square matrices with columns arranged in the same order.
In each cell, 1 = the congresspeople have a positive relationship, -1 = the congresspeople have a negative relationship, 0 = the congresspeople have no relationship.
Relationships are inferred from bill co-sponsorship data using the Stochastic Degree Sequence Model; see the following articles for more details:
Neal, Z. P. (In press). A sign of the times? Weak and strong polarization in the U.S. Congress, 1973-2016. Social Networks. Doi:10.1016/j.socnet.2018.07.007
Neal, Z. P. (2014). The backbone of bipartite projections: Inferring relationships from co-authorship, co-sponsorship, co-attendance and other co-behaviors. Social Networks, 39, 84-97. Doi:10.1016/j.socnet.2014.06.001
The first row identifies the representative or senator, with their party affiliation and state; these are square matrices with columns arranged in the same order.
In each cell, 1 = the congresspeople have a positive relationship, -1 = the congresspeople have a negative relationship, 0 = the congresspeople have no relationship.
Relationships are inferred from bill co-sponsorship data using the Stochastic Degree Sequence Model; see the following articles for more details:
Neal, Z. P. (In press). A sign of the times? Weak and strong polarization in the U.S. Congress, 1973-2016. Social Networks. Doi:10.1016/j.socnet.2018.07.007
Neal, Z. P. (2014). The backbone of bipartite projections: Inferring relationships from co-authorship, co-sponsorship, co-attendance and other co-behaviors. Social Networks, 39, 84-97. Doi:10.1016/j.socnet.2014.06.001
