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Efficient Updating of Node Importance in Dynamic Real-Life Networks
2018
IFAC-PapersOnLine
The analysis of real-life networks, such as the internet, biometrical networks, and social networks, is challenged by the constantly changing structure of these networks. Typically, such networks consist of multiple weakly connected subcomponents and efficiently updating the importance of network nodes, as captured by the ergodic projector of a random walk on these networks, is a challenging task. In this paper, new approximations are introduced that allow to efficiently update the ergodic
doi:10.1016/j.ifacol.2018.06.280
fatcat:3dflikxri5atvlxbzobuq3ge4u