Compartmental voter model and UK census data
We are concluding the ongoing series of posts on the compartmental voter model. As in [1] we will conclude with comparing the model against UK census data. Though note that the interactive app does not allow for the comparison - it just allows to generate semi-realistic spatial rank-size distributions.
Comparison figures from the article
All of the following figures report spatial rank-size distributions for the empirical data (black curves). While the simulation data is represented by the red shaded area, which shows 95% confidence interval. While the agreement is not excellent, the differences are quite easy to explain - not all socio-demographic categories (social identities) are as important when making choice on where to live.
![Ethnic group distribution in London: (a) White, (b) Asian, (c) Black and (d) other. Ethnic group distribution in London: (a) White, (b) Asian, (c) Black and (d) other.](https://rf.mokslasplius.lt/uploads/2020/compartmental-voter-model-and-uk-census-data.png)
![Religious group distribution in Leicester: (a) Christians, (b) no religion and (c) other. Religious group distribution in Leicester: (a) Christians, (b) no religion and (c) other.](https://rf.mokslasplius.lt/uploads/2020/cvm-leicester.png)
![Working class distribution in Sheffield: (a) top, (b) middle, (c) bottom and (d) unemployed. Working class distribution in Sheffield: (a) top, (b) middle, (c) bottom and (d) unemployed.](https://rf.mokslasplius.lt/uploads/2020/cvm-sheffield.png)
Interactive app
The app we make available with this post is quite similar to the one from the earlier post. Yet this one has larger preset \( T \) value, which accompanied buy UI elements, which allow to make agent types statistically distinguishable. Note that this app is somewhat resource hungry and thus might be quite slow.
![esf logo](https://rf.mokslasplius.lt/uploads/special/esf.png)
Acknowledgment. This post is based on research which was carried out as a part of the postdoctoral fellowship ''Physical modeling of order-book and opinion dynamics'' (09.3.3-LMT-K-712-02-0026) project. The fellowship is funded by the European Social Fund under the No 09.3.3-LMT-K-712 ''Development of Competences of Scientists, other Researchers and Students through Practical Research Activities'' measure.
References
- A. Kononovicius. Compartmental voter model. Journal of Statistical Mechanics 2019: 103402 (2019). doi: 10.1088/1742-5468/ab409b. arXiv: 1906.01842 [physics.soc-ph].