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Exposing hidden networks

6th February 2020

雷诺lambiotte, Somerville fellow and tutor in Applied Mathematics, uses maths to understand and map networks in the real world, ranging from epidemics to social media. Here, he discusses his most recent breakthrough, which has shed new light on the world of hidden networks.

Professor 雷诺lambiotte

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Our objective was to provide the result of a network analysis without even constructing the network.

In collaboration with researchers from Imperial College, Université Catholique de Louvain, and Spotify, we were able to develop an end-to-end algorithm that would do just this, skipping the unnecessary intermediary steps.

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This is a significant conceptual advance in the field of network theory. Our next aim will be to generalise this for other network algorithms.

Left: The climate classification of US cities according to the Köppen-Geiger method. Right: New classifications based on Renaud’s algorithm

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