Fig. 1
The structure of the labor flow network is shaped by firms’ geographic proximity and talent demands. a A labor flow network is comprised of organizations (nodes) and the flows of people between them (directed, weighted edges) as defined by historical records of job changes. b, c Two illustrative examples of geo-industrial clusters defined as hierarchically-organized geo-industrial clusters in the labor flow network with high intra-cluster talent mobility. b Within a cluster of software & internet technology firms, we see sub-clusters with respect to types of services—online (blue), offline (yellow), and both (red), which are also linked to the age of firms. c Geo-industrial clusters shaped by geography and area of specialization are also evident within a cluster of travel-related firms. d, e A transition matrix of labor flows between LinkedIn users’ self-reported industries (normalized with the expected transition volume) highlights labor flows within and between macroeconomic sectors. The effect of geographic proximity on labor mobility is also evident in the matrix of labor flows between US states (see Methods for details)
