From the macroscopic structure of global talent flows to the connectivity patterns of highly localized microindustries, LinkedIn’s network data provides a high-resolution picture of the world’s professional relationships. Viewed through the appropriate lens, these graphs exhibit complex structure across all scales—structure which necessarily transcends the locally constrained perspective of any single participant in the economy. Michael Conover explores the interrelationships between these large-scale structures, applying best-of-class scientific research on complex networks and cutting-edge machine-learning algorithms to reveal an intimate look at the hidden properties of the economic systems that shape our professional lives. Leveraging these insights, Mike demonstrates how you can intelligently navigate these structures to grow and strengthen your professional network by positioning yourself to create opportunity for the people around you.
Mike Conover builds machine-learning technologies that leverage the behavior and relationships of hundreds of millions of people. A staff data scientist at LinkedIn, Mike has a PhD in complex systems analysis with a focus on information propagation in large-scale social networks. His work has appeared in the New York Times, the Wall Street Journal, Science, and the MIT Technology Review as well as on National Public Radio.
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