How can we infer which birds lead a flock without performing experiments, but just from recording their behavior?
How can we understand the vulnerable parts of a power grid that could trigger a failure of the entire network?
In the most recent paper published in IEEE Transactions on Control of Network Systems, Prof. Maurizio Porfiri, in collaboration with Prof. Pietro De Lellis from University of Naples Federico II, developed a new technique to identify influential nodes only from measurements.
Read the paper “Detection of Influential Nodes in Network Dynamical Systems From Time Series” here.
Image credit: Pietro De Lellis and Maurizio Porfiri.