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Network patterns of legislative collaboration in twenty parliaments

Published online by Cambridge University Press:  24 March 2016

FRANÇOIS BRIATTE*
Affiliation:
European School of Political Sciences, Lille, F-59000, France (e-mail: [email protected])

Abstract

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Type
End Note
Copyright
Copyright © Cambridge University Press 2016 

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References

Alemán, E. (2015). Coauthorship ties in the Colombian congress, 2002–2006. Colombia Internacional, (83), 2342.Google Scholar
Alemán, E., & Calvo, E. (2013). Explaining policy ties in presidential congresses: A network analysis of bill initiation data. Political Studies, 61 (2), 356377.Google Scholar
Bratton, K. A., & Rouse, S. M. (2011). Networks in the legislative arena: How group dynamics affect cosponsorship. Legislative Studies Quarterly, 36 (3), 423460.Google Scholar
Chiru, M. & Neamţu, S. (2012 Jun). Parliamentary representation under changing electoral rules: Cosponsorship in the Romanian parliament. Inaugural General Conference of the ECPR Standing Group on Parliaments: ‘Parliaments in Changing Times’.Google Scholar
Clark, J. H., & Caro, V. (2013). Multimember districts and the substantive representation of women: An analysis of legislative cosponsorship networks. Politics & Gender, 9 (1), 130.CrossRefGoogle Scholar
Coulmont, B. (2011 Sep). Travail de députés. Blog post at http://coulmont.com/blog/2011/09/02/travail-de-deputes/.Google Scholar
Cranmer, S. J., & Desmarais, B. A. (2011). Inferential network analysis with exponential random graph models. Political Analysis, 19 (1), 6686.CrossRefGoogle Scholar
Döring, H., & Manow, P. 2014 (12). Parliaments and governments database (ParlGov): Information on parties, elections and cabinets in modern democracies. Stable version 14-12.Google Scholar
Fowler, J. H. (2006a). Connecting the Congress: A study of cosponsorship networks. Political Analysis, 14 (4), 456487.Google Scholar
Fowler, J. H. (2006b). Legislative cosponsorship networks in the U.S. House and Senate. Social Networks, 28 (4), 454465.Google Scholar
Fruchterman, T. M. J., & Reingold, E. M. (1991). Graph drawing by force-directed placement. Software: Practice and Experience, 21 (11), 11291164.Google Scholar
Gregor, K. (2013 Aug). Visualizing politics: Network analysis of bill sponsors. Blog post at http://blog.openingparliament.org/post/59496651147/visualizing-politics-network-analysis-of-bill.Google Scholar
Gross, J. H., Kirkland, J. H., & Shalizi, C. 2012 (5). Cosponsorship in the U.S. Senate: A multilevel two-mode approach to detecting subtle social predictors of legislative support. Unpublished manuscript.Google Scholar
Kirkland, J. H. (2013). Hypothesis testing for group structure in legislative networks. State Politics & Policy Quarterly, 13 (2), 225243.CrossRefGoogle Scholar
Kirkland, J. H. (2014). Chamber size effects on the collaborative structure of legislatures. Legislative Studies Quarterly, 39 (2), 169198.Google Scholar
Lee, J.-Y., Jo, H.-J., & Yoon, J. W. (2014). Network analysis of Korean legislators using bipartite network projection. Journal of Internet Computing and Services, 15 (4), 103110.Google Scholar
Leicht, E. A., & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100 (11), 118703.Google Scholar
Micozzi, J. P. (2014). Alliance for progress? multilevel ambition and patterns of cosponsorship in the Argentine House. Comparative Political Studies, 47 (8), 11861208.CrossRefGoogle Scholar
Moody, J., & Mucha, P. J. (2013). Portrait of political party polarization. Network Science, 1 (1), 119121.Google Scholar
Munzert, S., Rubba, C., Meißner, P., & Nyhuis, D. (2015). Automated data collection with R: A practical guide to web scraping and text mining. New York: Wiley.Google Scholar
Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69 (2), 026113.CrossRefGoogle ScholarPubMed
R Core Team. (2015). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.Google Scholar
Sartori, G. (1976/2005). Parties and party systems: A framework for analysis. Colchester: ECPR Press.Google Scholar
Snijders, T. A. B. (2011). Statistical models for social networks. Annual Review of Sociology, 37, 131153.Google Scholar
Waugh, A. S., Pei, L., Fowler, J. H., Mucha, P. J., & Porter, M. A. (2009 Jul). Party polarization in Congress: A network science approach. Working paper at http://ssrn.com/abstract=1437055.Google Scholar
Zhang, Y., Friend, A. J., Traud, A. L., Porter, M. A., Fowler, J. H., & Mucha, P. J. (2008). Community structure in Congressional cosponsorship networks. Physica A: Statistical Mechanics and its Applications, 387 (7), 17051712.CrossRefGoogle Scholar
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