The Mobility Network of Scientists: Analyzing Temporal Correlations in Scientific Careers
- Working Paper
To understand the mobility patterns of scientists, we combine two large-scale bibliographic data sets to reveal the geographical career trajectories of scientists and their temporal properties. Each trajectory contains, on the individual level, information about the institutions, cities and countries and the time spent there by scientists. By aggregating the individual career trajectories, we reconstruct the world network of movements of scientists, where the nodes represent cities and the links in- and outflows. We characterize the topological properties of this network by means of degree, local clustering coefficient, path length and neighbor connectivity. Then, by using multi-order graphical models, we analyze the temporal correlations of scientists' career trajectories at the country, city and institution level. We find that scientist movements at the city and country level can be correctly modeled from a static network perspective, because there are no statistically significant temporal correlations at these aggregation levels. In contrast, at the affiliation level we find that temporal correlations in scientists' career trajectories are important. That means, a memory effect in scientists' careers impacts their next affiliation. We demonstrate that these correlations can be correctly captured using a second-order network, in which nodes represent moves between two different affiliations. The finding that memory effects are only detectable at the lowest level of aggregation, i.e. the institution, implies that this is the most appropriate level to analyze the determinants of relocation decisions. Show more
Journal / seriesarXiv
Pages / Article No.
Organisational unit03682 - Schweitzer, Frank / Schweitzer, Frank
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