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Anton V. Proskurnikov
Researcher at Polytechnic University of Turin
Publications - 182
Citations - 2988
Anton V. Proskurnikov is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Nonlinear system & Synchronization (computer science). The author has an hindex of 19, co-authored 166 publications receiving 2259 citations. Previous affiliations of Anton V. Proskurnikov include Norwegian University of Science and Technology & Saint Petersburg State University.
Papers
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A tutorial on modeling and analysis of dynamic social networks. Part I
TL;DR: The aim of this tutorial is to highlight a novel chapter of control theory, dealing with applications to social systems, to the attention of the broad research community.
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Network science on belief system dynamics under logic constraints
Noah E. Friedkin,Anton V. Proskurnikov,Anton V. Proskurnikov,Roberto Tempo,Sergey E. Parsegov +4 more
TL;DR: Here, the existence of logical constraints on beliefs affect the collective convergence to a shared belief system and, in contrast, how an idiosyncratic set of arbitrarily linked beliefs held by a few may become held by many.
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Opinion Dynamics in Social Networks With Hostile Camps: Consensus vs. Polarization
TL;DR: In this article, the authors extend the modulus consensus model to the case where the network topology is an arbitrary time-varying signed graph and prove reaching consensus under mild sufficient conditions of uniform connectivity of the graph.
Journal ArticleDOI
Opinion Dynamics in Social Networks with Hostile Camps: Consensus vs. Polarization
TL;DR: The modulus consensus model is extended to the case where the network topology is an arbitrary time-varying signed graph and it is proved reachingmodulus consensus under mild sufficient conditions of uniform connectivity of the graph.
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Novel Multidimensional Models of Opinion Dynamics in Social Networks
TL;DR: In this article, a multidimensional extension of the iterative opinion pooling algorithm is proposed to capture the complex behavior of real social groups, where opinions and actions related to them may form clusters of different size.