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- W2897638096 abstract "The characterization of representative nodes has great relevance in several contexts, such as semi-supervised machine learning, contagion process, rumor spreading, among others. We propose a method to nodes characterization in networks based on a voting process, a method other than the several methods in the literature, which works on the active participation of the network nodes, by considering the point of view of the nodes, in such a democratic evaluation of the network. The proposed method is studied through computational simulations on real-world and synthetic networks. Results are presented by considering the influence of the free parameters, in comparison with results of reference methods, and in relation to ground-truth knowledge about the networks, revealing consistency of the results, practicality, and some advantages. Several insights on opened issues are provided." @default.
- W2897638096 created "2018-10-26" @default.
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- W2897638096 date "2018-07-01" @default.
- W2897638096 modified "2023-09-27" @default.
- W2897638096 title "On democratic evaluation of nodes representativity" @default.
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- W2897638096 doi "https://doi.org/10.1109/ijcnn.2018.8489512" @default.
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