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A typical example of behavior-affected processes is the information diffusion by users in generalized networks.
Modern generalized networks, where physical devices and social players are combined to support seamless and more flexible services, are strongly driven by user behavior and its evolution.
We model information diffusion in generalized networks through graphical evolutionary game theory (graphical EGT) and analyze the evolution of the system and its Evolutionary Stable States (ESS) for time-varying fitness values due to time-varying user interests.
Through employing LMI in Matlab Toolbox and adjusting some matrix parameters in the derived results, the design and applications of the generalized networks can be realized, which shows that our methods can improve some reported methods.
In this paper, we focus on user strategy selection with respect to information diffusion in generalized networks, and study its evolutionary dynamics and their benefits, as user behavior/interests change over the course of time.
Fig. 1 The considered information diffusion mechanisms over generalized networks.
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S. Sojoudi, S. Fattahi, and J. Lavaei, "Convexification of generalized network flow problem," Mathematical Programming, 2018.
And, interdependent networks provide a more generalized network architecture to study the intricate variability of dynamics.
The GFCND problem is an instance of the so-called generalized network design problems.
A comparison was made between a classic supply chain network and generalized network that deals with uncertainty.
This paper aims at the minimum cost problem of generalized network flow model to define and analyse three classes of bottlenecks based on generalized network simplex algorithm, and the corresponding search algorithms are proposed in this paper.
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