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Constructing legislative networks in R using incidentally and backbone Cover

Constructing legislative networks in R using incidentally and backbone

By: Zachary P. Neal  
Open Access
|Oct 2022

References

  1. Aleman, E. and Calvo, E. 2013. Explaining policy ties in presidential congresses: a network analysis of bill initiation data. Political Studies 61:356–77 https://doi.org/10.1111/j.1467-9248.2012.00964.x.
  2. Andris, C., Lee, D., Hamilton, M. J., Martino, M., Gunning, C. E. and Selden, J. A. 2015. The rise of partisanship and super-cooperators in the US house of representatives. PLoS ONE 10:e0123507 https://doi.org/10.1371/journal.pone.0123507.
  3. Aref, S. and Neal, Z. 2020. Detecting coalitions by optimally partitioning signed networks of political collaboration. Scientific Reports 10:1506 https://doi.org/10.1038/s41598-020-58471-z.
  4. Aref, S. and Neal, Z. P. 2021. Identifying hidden coalitions in the US house of representatives by optimally partitioning signed networks based on generalized balance. Scientific Reports 11:19939 https://doi.org/10.1038/s41598-021-98139-w.
  5. Aref, S. and Wilson, M. C. 2018. Measuring partial balance in signed networks. Journal of Complex Networks 6:566–95 https://doi.org/10.1093/comnet/cnx044.
  6. Baller, I. 2017. Specialists, party members, or national representatives: patterns in co-sponsorship of amendments in the European parliament. European Union Politics 18:469–90 https://doi.org/10.1177/1465116517712049.
  7. Bratton, K. A. and Rouse, S. M. 2011. Networks in the legislative arena: how group dynamics affect cosponsorship. Legislative Studies Quarterly 36:423–60 https://doi.org/10.1111/j.1939-9162.2011.00021.x.
  8. Briatte, F. C. 2016. Network patterns of legislative collaboration in twenty parliaments. Network Science 4:266–71 https://doi.org/10.1017/nws.2015.31.
  9. Clark, J. H. and Caro, V. 2013. Multimember districts and the substantive representation of women: an analysis of legislative cosponsorship networks. Politics and Gender 9:1–30 https://doi.org/10.1017/S1743923X12000670.
  10. Csardi, G., Nepusz, T., et al. 2006. The igraph software package for complex network research. InterJournal, Complex Systems 1695:1–9.
  11. Desmarais, B. A., Moscardelli, V. G., Schaffner, B. F. and Kowal, M. S. 2015. Measuring legislative collaboration: the Senate press events network. Social Networks 40:43–54 https://doi.org/10.1016/j.socnet.2014.07.006.
  12. Doreian, P. and Mrvar, A. 2019. Signed networks for the US supreme court overturning its prior decisions. Connections 39:1–14 https://doi.org/10.21307/connections-2019-002.
  13. Fischer, M., Varone, F., Gava, R. and Sciarini, P. 2019. How MPs ties to interest groups matter for legislative co-sponsorship. Social Networks 57:34–42 https://doi.org/10.1016/j.socnet.2018.12.001.
  14. Fowler, J. H. 2006a. Connecting the congress: a study of cosponsorship networks. Political Analysis 14:456–87 https://doi.org/10.1093/pan/mpl002.
  15. Fowler, J. H. 2006b. Legislative cosponsorship networks in the US house and senate. Social Networks 28:454–65 https://doi.org/10.1016/j.socnet.2005.11.003.
  16. Frishberg, D. 1976. I'm just a bill. In Jack Sheldon and John Sheldon, editors, Schoolhouse Rock! ABC.
  17. Kirkland, J. H. 2011. The relational determinants of legislative outcomes: strong and weak ties between legislators. The Journal of Politics 73:887–98 https://doi.org/10.1017/S0022381611000533.
  18. Kirkland, J. H. 2014. Chamber size effects on the collaborative structure of legislatures. Legislative Studies Quarterly 39:169–98 https://doi.org/10.1111/lsq.12041.
  19. Kirkland, J. H. and Gross, J. H. 2014. Measurement and theory in legislative networks: the evolving topology of congressional collaboration. Social Networks 36:97–109; ISSN 0378-8733. https://doi.org/10.1016/j.socnet.2012.11.001 Special Issue on Political Networks.
  20. Knoke, D. 1994. Political networks: the structural perspective, volume 4. Cambridge University Press.
  21. Knoke, D., Diani, M., Hollway, J. and Christopoulos, D. 2021. Multimodal Political Networks, volume 50. Cambridge University Press.
  22. Micozzi, J. P. 2014. Alliance for progress? Multilevel ambition and patterns of cosponsorship in the Argentine house. Comparative Political Studies 47:1186–208 https://doi.org/10.1177/0010414013488564.
  23. 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 https://doi.org/10.1016/j.socnet.2014.06.001.
  24. Neal, Z. P. 2020. A sign of the times? Weak and strong polarization in the US congress, 1973–2016. Social Networks 60:103–12. https://doi.org/10.1016/j.socnet.2018.07.007.
  25. Neal, Z. P. 2022a. Backbone: an R package to extract network backbones. PLoS ONE 17:e0269137 https://doi.org/10.1371/journal.pone.0269137.
  26. Neal, Z. P. 2022b. Incidentally: an R package to generate incidence matrices and bipartite graphs. OSF Preprints https://doi.org/10.31219/osf.io/ectms.
  27. Neal, Z. P., Domagalski, R. and Sagan, B. 2021. Comparing alternatives to the fixed degree sequence model for extracting the backbone of bipartite projections. Scientific Reports 11:23929 https://doi.org/10.1038/s41598-021-03238-3.
  28. Neal, Z. P., Domagalski, R. and Yan, X. 2022. Homophily in collaborations among US House Representatives, 1981–2018. Social Networks 68:97–106 https://doi.org/10.1016/j.socnet.2021.04.007.
  29. Poole, K. T. and Rosenthal, H. 1985. A spatial model for legislative roll call analysis. American Journal of Political Science 29:357–84 https://doi.org/10.2307/2111172.
  30. Porter, M. A., Mucha, P. J., Newman, M. E. and Warmbrand, C. M. 2005. A network analysis of committees in the US house of representatives. Proceedings of the National Academy of Sciences 102:7057–62 https://doi.org/10.1073/pnas.0500191102.
  31. Ringe, N., Victor, J. N., Cho, W. T. 2017. Legislative networks. In Victor, J. N., Montgomery, A. H. and Lubell, M. (Eds), The Oxford Handbook of Political Networks New York: Oxford University Press, pp. 471–90.
  32. Rippere, P. S. 2016. Polarization reconsidered: bipartisan cooperation through bill cosponsorship. Polity 48:243–78 https://doi.org/10.1057/pol.2016.4.
  33. Smith, G. H. E. and Riddick, F. M. 1948 ). Congress in Action (How a Bill Becomes a Law) National Capitol Publishers.
  34. Tam, C., Wendy, K. and Fowler, J. H. 2010. Legislative success in a small world: social network analysis and the dynamics of congressional legislation. The Journal of Politics 72:124–35 https://doi.org/10.1017/S002238160999051X.
  35. Victor, J. N., Montgomery, A. H. and Lubell, M. 2017. The Oxford Handbook of Political Networks Oxford University Press.
  36. Volden, C. and Wiseman, A. E. 2014 ). Legislative effectiveness in the United States Congress: The lawmakers Cambridge university press.
  37. Zhang, Y., Friend, A. J., Traud, A. L., Porter, M. A., Fowler, J. H. and Mucha, P. J. 2008. Community structure in congressional cosponsorship networks. Physica A: Statistical Mechanics and Its Applications 387:1705–12 https://doi.org/10.1016/j.physa.2007.11.004.
DOI: https://doi.org/10.2478/connections-2019.026 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 1 - 9
Published on: Oct 14, 2022
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Zachary P. Neal, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.