Ultrametri-City
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48185-7_10
Reference28 articles.
1. Agryzkov, T., Martí, P., Nolasco-Cirugeda, A., Serrano-Estrada, L., Tortosa, L., & Vicent, J. F. (2016). Analysing successful public spaces in an urban street network using data from the social networks foursquare and twitter. Applied Network Science, 1, 1–15.
2. Agryzkov, T., Martí, P., Tortosa, L., & Vicent, J. F. (2017). Measuring urban activities using foursquare data and network analysis: A case study of Murcia (Spain). International Journal of Geographical Information Science, 31(1), 100–121.
3. Băbeanu, A. I., van de Vis, J., & Garlaschelli, D. (2018). Ultrametricity increases the predictability of cultural dynamics. New Journal of Physics, 20(10), 103026.
4. Bradley, P. E., Keller, S., & Weinmann, M. (2018). Unsupervised feature selection based on ultrametricity and sparse training data: A case study for the classification of high-dimensional hyperspectral data. Remote Sensing, 10(10), 1564.
5. Buechel, B., Hellmann, T., & Pichler, M. M. (2014). The dynamics of continuous cultural traits in social networks. Journal of Economic Theory, 154, 274–309.
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