Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2012-03-07
Physics
Condensed Matter
Disordered Systems and Neural Networks
Article: 5 pages, 5 figures Supplemental Material: 1 figure
Scientific paper
We analyze the irreversible dynamical process corresponding to the linear-threshold model of influence spread over a network, and propose an efficient algorithm to solve the inverse problem, namely that of finding an optimal initial condition that generates to a desired final state of the dynamics. This is a challenging problem which is crucial in many contexts, from systemic risk analysis to the design of viral marketing campaigns. Our approach is based on the cavity-method of statistical physics. We compare our algorithm to standard techniques (based on Monte Carlo and Linear Programming) and show that it has an excellent performance.
Altarelli Fabrizio
Braunstein Alfredo
Dall'Asta Luca
Zecchina Riccardo
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