Mathematics of Operations Research, Vol. 41, No. 1 (February 2016), pp. 146-173 (28 pages) This paper investigates the problem of maximizing expected terminal utility in a (generically incomplete) ...
Abstract: Influence maximization in social networks is a fundamental problem in network science with applications in viral marketing, information diffusion, and opinion formation. However, privacy ...
We design a dynamic rate scheduling policy of Markov type by using the solution (a social optimal Nash equilibrium point) to a utility-maximization problem over a randomly evolving capacity set for a ...
Abstract: Influence Maximization (IM), aiming to identify a small set of highly influential nodes in social networks, is a critical problem in graph analysis. Recently, Graph Neural Networks (GNNs) ...