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Numerical tests with real cascades of online media demonstrate the effectiveness of the novel algorithm in unveiling sparse dynamically-evolving topologies.
Abstract: Many real-world processes evolve in cascades over networks, whose topologies are often unobservable and change over time.
Proximal-Gradient Algorithms for Tracking Cascades Over Social ...
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Many real-world processes evolve in cascades over complex networks, whose topologies are often unobservable and change over time.
Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks ... algorithm based on projected proximal gradient descent that accounts for the ...
A dynamic algorithm has been recently proposed to infer time-varying diffusion networks by solving an MLE problem via stochastic gradient descent iterations [35] ...
A proximal gradient algorithm for tracking cascades over networks-conference_proceeding.
Abstract: Many real-world processes evolve in cascades over networks, whose topologies are often unobservable and change over time.
Many real-world processes evolve in cascades over complex networks, whose topologies are often unobservable and change over time.
To this end, a solver is developed by leveraging (pseudo) real-time sparsity-promoting proximal gradient iterations. Numerical tests with real cascades of ...
Bibliographic details on Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks.