Community Structure in Congressional Cosponsorship Networks

Zhang, Yan; Friend, A. J.; Traud, Amanda L.; Porter, Mason A.; Fowler, James H.; Mucha, Peter J.

doi:10.2139/ssrn.1008209

Cited by 65 publications

(78 citation statements)

References 32 publications

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“…Some prior evidence suggests that homophily is present in legislatures: Gross (2008) finds that shared committee service, similarity in ideology, and being elected from the same state or region all contribute to cosponsorship. Zhang et al (2008) find that ideology, committee service, and geography all contribute to cosponsorship networks. Caldeira and Patterson (1987) find that legislative friendships are shaped by both propinquity (distance between districts, seatmates) and shared characteristics (similar levels of education, same party affiliation, shared committee assignments).…”

Section: Models Of Sponsorship and Cosponsorshipmentioning

confidence: 89%

Networks in the Legislative Arena: How Group Dynamics Affect Cosponsorship

Bratton

Rouse

2011

Legislative Studies Qtrly

112

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In this study, we explore the determinants of cosponsorship activity within state legislatures. Utilizing a social dynamic framework, we develop and test a model of the interplay of the activities of sponsorship and cosponsorship that includes both individual‐level and social network characteristics as determinants of agenda‐setting behavior; the latter demonstrating how collaboration and mutual interests shape the agenda‐setting process. We find several consistent factors that influence the frequency of cosponsorship activity: (1) ideological distance, (2) proximity of legislators' districts, (3) homophily (similar characteristics such as race, gender, and ethnicity), and (4) transitivity (the idea that friends of my friends are also my friends).

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Section: Models Of Sponsorship and Cosponsorshipmentioning

confidence: 89%

Networks in the Legislative Arena: How Group Dynamics Affect Cosponsorship

Bratton

Rouse

2011

Legislative Studies Qtrly

112

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“…Networks describing the U.S. congress' bills have been the object of multiple studies (see, for example Fowler, 2006;Faust and Skvoretz, 2002;Zhang et al, 2008;Cranmer and Desmarais, 2011;Moody and Mucha, 2013;Wilson et al, 2016;Roy et al, 2017;Lee et al, 2017;Neal, 2018). It is thus an appropriate real system for our second application of the SD-ERGM framework.…”

Section: Temporal Heterogeneity In Us Congress Co-voting Political mentioning

confidence: 99%

Score-Driven Exponential Random Graphs: A New Class of Time-Varying Parameter Models for Dynamical Networks

2019

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Motivated by the evidence that real-world networks evolve in time and may exhibit nonstationary features, we propose an extension of the Exponential Random Graph Models (ERGMs) accommodating the time variation of network parameters. Within the ERGM framework, a network realization is sampled from a static probability distribution defined parametrically in terms of network statistics. Inspired by the fast growing literature on Dynamic Conditional Score-driven models, in our approach, each parameter evolves according to an updating rule driven by the score of the conditional distribution. We demonstrate the flexibility of the score-driven ERGMs, both as data generating processes and as filters, and we prove the advantages of the dynamic version with respect to the static one. Our method captures dynamical network dependencies, that emerge from the data, and allows for a test discriminating between static or time-varying parameters. Finally, we corroborate our findings with the application to networks from real financial and political systems exhibiting non stationary dynamics. * We are particularly thankful for comments and suggestions received by Fulvio Corsi and Giuseppe Buccheri.

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“…Los resultados expuestos se inscriben en una línea desarrollada dentro del estudio del copatrocinio, de la cual destacamos aquí a Yang Zhang et al (2006). Mediante el concepto de modularidad de las redes, estos investigadores estudian la variación de la polarización política en la Cámara de Estados Unidos (1995)(1996), en función de los cambios en la composición de las redes copatrocinantes en el tiempo.…”

Section: Lecciones Aprendidas Con La Alianzaunclassified

La coalición de la Alianza en Argentina (1999-2001): un caso entre bloques

Abelenda¹

2015

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ResumenEl artículo estudia la cohesión del bloque parlamentario de la Alianza en la Cámara Baja, a partir de la perspectiva del copatrocinio aplicada al primer caso de coalición formal, desde el retorno a la democracia en 1983. El trabajo analiza la performance legislativa del grupo parlamentario en función de las características constitutivas de los integrantes del bloque (composición federal, género y antecedentes parlamentarios), los espacios ocupados en el sistema de comisiones y su condición oficialista, para explorar las motivaciones que permitieron el copatrocinio logrado y las características que tuvo la práctica cooperante en una coalición de gobierno. En relación con el distrito y el partido como variables explicativas señaladas para el caso argentino, este trabajo identifica la experiencia de los titulares de las bancas, la distribución del bloque dentro de la Cámara y el curso político en los años 2000 y 2001 como fundamento del curso de la cooperación dentro del oficialismo. AbstractThis paper studies the cohesion of the Alliance parliamentary bloc in the House, from the perspective of co-sponsorship applied to the first case of formal coalition since the return to democracy in 1983. The paper analyzes the performance of the ruling bloc according to the constitutive characteristics such as federal composition, gender and background parliamentarians, the space occupied in the Commission System and its status as the ruling bloc to explore the motivations and their characteristics in a coalition government. The district and the party identified as explanatory variables for the Argentine case, this paper highlights the experience of members, the distribution of the bloc in the House and the political course during 2000 and 2001 as the foundation of the course of cooperation within the ruling bloc.

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Community Structure in Congressional Cosponsorship Networks

Cited by 65 publications

References 32 publications

Networks in the Legislative Arena: How Group Dynamics Affect Cosponsorship

Networks in the Legislative Arena: How Group Dynamics Affect Cosponsorship

Score-Driven Exponential Random Graphs: A New Class of Time-Varying Parameter Models for Dynamical Networks

La coalición de la Alianza en Argentina (1999-2001): un caso entre bloques

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