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Portrait of Political Party Polarization – ERRATUM

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  • MOODY, JAMES
  • MUCHA, PETER J.

Abstract

The supplemental online material accompanying this article was not the final version. The final version is now published online. The publisher regrets the error.

Suggested Citation

  • Moody, James & Mucha, Peter J., 2013. "Portrait of Political Party Polarization – ERRATUM," Network Science, Cambridge University Press, vol. 1(2), pages 251-251, August.
    • Handle: RePEc:cup:netsci:v:1:y:2013:i:02:p:251-251_00
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    Cited by:

    1. Sandipan Roy & Yves Atchadé & George Michailidis, 2017. "Change point estimation in high dimensional Markov random-field models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(4), pages 1187-1206, September.
    2. Huremović, Kenan & Ozkes, Ali I., 2022. "Polarization in networks: Identification–alienation framework," Journal of Mathematical Economics, Elsevier, vol. 102(C).
    3. Neal, Zachary & Domagalski, Rachel & Yan, Xiaoqin, 2020. "Party Control as a Context for Homophily in Collaborations among US House Representatives, 1981 -- 2015," OSF Preprints qwdxs, Center for Open Science.
    4. Baber, Hasnan, 2020. "Intentions to participate in political crowdfunding- from the perspective of civic voluntarism model and theory of planned behavior," Technology in Society, Elsevier, vol. 63(C).
    5. Natasha Kossovsky & Kathleen M. Carley, 2020. "The collapse of the second Yatsenyuk government: roll call vote and dynamic network analysis," Computational and Mathematical Organization Theory, Springer, vol. 26(1), pages 123-143, March.
    6. Michael W Kraus & Bennett Callaghan, 2014. "Noblesse Oblige? Social Status and Economic Inequality Maintenance among Politicians," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-6, January.
    7. Lee, Jihui & Li, Gen & Wilson, James D., 2020. "Varying-coefficient models for dynamic networks," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).

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