Researchers map global economy in collaboration with LinkedIn

Researchers create first-ever 'map' of global labor flow
The study revealed large-scale associations between industries and people across the globe. Each circle represents a specific geo-industrial cluster with its size proportional to its number of employees. Credit: Jaehyuk Park, Indiana University

A small team of researchers at Indiana University has created the first global map of labor flow in collaboration with the world's largest professional social network, LinkedIn. The work is reported in the journal Nature Communications.

The study's lead authors are Jaehyuk Park and Ian Wood, Ph.D. students working with Yong Yeol "Y.Y." Ahn, a professor at the IU School of Informatics, Computing and Engineering in Bloomington.

According to the researchers, the study's result represents a powerful tool for understanding the flow of people between industries and regions in the U.S. and beyond. It could also help policymakers better understand how to address critical skill gaps in the or connect workers with new opportunities in nearby communities.

The study showed some unexpected connections between economic sectors, such as the strong ties between credit card and airline industries. It also identified growing industries during the study period from 2010 to 2014, including the pharmaceutical and oil and gas industries—with in-demand skills such as team management and —as well as declining industries, such as retail and telecommunications.

IU researchers created the map using LinkedIn's data on 500 million people between 1990 and 2015, including about 130 million job transitions between more than 4 million companies. The researchers gained access to this rare data as one of only 11 teams selected to participate in the inaugural LinkedIn Economic Graph Research program in 2015. They later became one of only two teams—IU and MIT—selected to continue their work beyond 2017. The team worked closely with LinkedIn engineers, including Michael Conover, a graduate of the IU School of Informatics, Computing and Engineering and a senior data scientist at LinkedIn at the time of the study.

In a blog post on LinkedIn, Park compares the study to a "roadmap" to the future economy since the first step in any journey requires understanding the current landscape.

"We expect this study will provide a powerful foundation for further systematic analysis of geo-industrial clusters in the context of business strategy, urban economics, regional economics and international development fields—as well as providing useful insights for policymakers and business leaders," he said.


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More information: Jaehyuk Park et al, Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters, Nature Communications (2019). DOI: 10.1038/s41467-019-11380-w
Journal information: Nature Communications

Provided by Indiana University
Citation: Researchers map global economy in collaboration with LinkedIn (2019, August 2) retrieved 23 August 2019 from https://phys.org/news/2019-08-global-economy-collaboration-linkedin.html
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