title: Asymptotically inspired moment-closure approximation for adaptive networks.
abstract: Adaptive social networks, in which nodes and network structure coevolve, are often described using a mean-field system of equations for the density of node and link types. These equations constitute an open system due to dependence on higher-order topological structures. We propose a new approach to moment closure based on the analytical description of the system in an asymptotic regime. We apply the proposed approach to two examples of adaptive networks: recruitment to a cause model and adaptive epidemic model. We show a good agreement between the improved mean-field prediction and simulations of the full network system.
authors: Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA.
authors: Maxim S
authors: MS
authors: Shkarayev
authors: Department of Applied Science, College of William & Mary, Williamsburg, Virginia 23187, USA.
authors: Leah B
authors: LB
authors: Shaw