Two party politics matrix

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Gabriela Navas-Zuloaga 2. Caleb Ignace 3. Christopher M. Kribs 4. Carlos W. Castillo-Garsow 5. Victor M. Moreno 6. Phan asu. Moreno asu. The U. Our aim is to determine which of those changes in voting behavior have the largest impact on the election outcome. We address this question by developing a class of models driven either by the effect of mass media or by social interaction among voters and non-voting members of two parties. The dynamics are modeled using four compartments with a transition matrix describing the evolution of a discrete-time Markov chain.

Each model is studied and fit to poll data from the and U. A comparison across elections indicates that the social influence of each group changes from one election to another, but response to media is similar in both cases. Keywords: Markov chain; dynamical system; voting behavior; peer influence; media influence. Las elecciones presidenciales de en los E. Ver supplementary material. Daniel Burkow and Leon Arriola for their guidance and support.

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D, Wright. L, Zhu; Y, Wang. Rumor spreading model with noise interference in complex social networksPhysica A: Statistical Mechanics and its Applications This is an open-access article distributed under the terms of the Creative Commons Attribution. Services on Demand Journal. Similars in SciELO. Tin Phan 1 M.

Kribs 4 Carlos W. Castillo-Garsow 5 Victor M. Abstract The U. n Las elecciones presidenciales de en los E. Mathematics Subject Classification: 91F Ver contenido complete en PDF. How to cite this article.

Two party politics matrix

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