Evolution of Social Power in Social Networks with Dynamic Topology
The recently proposed DeGroot-Friedkin model describes the dynamical evolution of individual social power in a social network that holds opinion discussions on a sequence of different issues. This paper revisits that model, and uses nonlinear contraction analysis, among other tools, to establish several novel results. First, we show that for a social network with constant topology, each individual's social power converges to its equilibrium value exponentially fast, whereas previous results...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Automatic Control|
|Evolution_of_Social_Power_in_Social_Networks_With_Dynamic_Topology.pdf||677.41 kB||Adobe PDF||Request a copy|
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