Portrait of Political Party Polarization1

@article{Moody2013PortraitOP,
  title={Portrait of Political Party Polarization1},
  author={James Moody and Peter J. Mucha},
  journal={Network Science},
  year={2013},
  volume={1},
  pages={119 - 121}
}
To find out, we measure co-voting similarity networks in the US Senate and trace individual careers over time. Standard network visualization tools fail on dense highly clustered networks, so we used two aggregation strategies to clarify positional mobility over time. First, clusters of Senators who often vote the same way capture coalitions, and allow us to measure polarization quantitatively through modularity (Newman, 2006; Waugh et al., 2009; Poole, 2012). Second, we use role-based… 
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