35 citations · 51 across the 10 of their papers we have counts for
10 papers
Information-theoretic formulation of the Traveling Salesman Problem
Enrico Maria Fenoaltea, Riccardo Piombo, Aurelio Patelli
The Traveling Salesman Problem (TSP) asks for the shortest route to visit a set of cities exactly once. It combines a simple local rule - each city must be visited once - with a ha…
A Grand-Canonical Solution to a Class of Random Optimization Problems
Izat B Baybusinov, Enrico M Fenoaltea, Zhen Han +1
We introduce a general framework to solve a class of combinatorial opti- mization problems, including the matching problem, the Traveling Salesman Problem, and also the minimum wei…
Anticipating Innovation Using Large Language Models
Enrico Maria Fenoaltea, Filippo Santoro, Giordano De Marzo +2
Forecasting innovation, intended as the emergence of new technological combinations, is a fundamental challenge for science and policy. We show that forthcoming combinations leave…
Follow the money: a startup-based measure of AI exposure across occupations, industries and regions
Enrico Maria Fenoaltea, Dario Mazzilli, Aurelio Patelli +5
The integration of artificial intelligence (AI) into the workplace is advancing rapidly, necessitating robust metrics to evaluate its tangible impact on the labour market. Existing…
Opinion formation by belief propagation: A heuristic to identify low-credible sources of information
Enrico Maria Fenoaltea, Alejandro Lage-Castellanos
With social media, the flow of uncertified information is constantly increasing, with the risk that more people will trust low-credible information sources. To design effective str…
Nonrandom behavior in the Projection of Random bipartite networks
Izat B. Baybusinov, Enrico Maria Fenoaltea, Yi-Cheng Zhang
There are two main categories of networks that are investigated in the complexity physics community: monopartite and bipartite networks. In this letter, we report a general finding…