Preferential choices and social patterns : data and models
In this seminar I will describe two different approaches for understanding the driving forces underlying the formation of human patterns. In the first part of the talk, using a big data approach, I will show the results of an analysis of the patterns in researcher’s mobility. Starting from the dataset of the publication corpus of the APS I reconstruct the individual researchers trajectories. I characterise these patterns in terms of topological network properties and I analyse the dependence of an academic path across different dimensions : the distance between two subsequent positions, the relative importance of the institutions and some socio-cultural traits. I show that distance is not always a good predictor for the next affiliation while other factors like ’’the previous steps’’ of the career of the researchers or the linguistic and historical similarity between two countries can have an important impact. I show that the dataset exhibit a memory effect. In the second part of the talk I will shortly present a metapopulation implementation of the Schelling model. This simple variation of the traditional model shows that moving rules linked to intolerance, in this framework not only generate the usual segregation patterns but also heterogeneity in the population density (urban skylines).