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physics.soc-ph2024
Time-dependent influence metric for cascade dynamics on networks
James P. Gleeson, Ailbhe Cassidy, Daniel Giles +1
An algorithm for efficiently calculating the expected size of single-seed cascade dynamics on networks is proposed and tested. The expected size is a time-dependent quantity and so…
physics.soc-ph2018
Characterizing the analogy between hyperbolic embedding and community structure of complex networks
Ali Faqeeh, Saeed Osat, Filippo Radicchi
We show that the community structure of a network can be used as a coarse version of its embedding in a hidden space with hyperbolic geometry. The finding emerges from a systematic…
physics.soc-ph2018
Influence maximization in noisy networks
Şirag Erkol, Ali Faqeeh, Filippo Radicchi
We consider the problem of identifying the most influential nodes for a spreading process on a network when prior knowledge about structure and dynamics of the system is incomplete…