Titlebook: Network Algorithms, Data Mining, and Applications; NET, Moscow, Russia, Ilya Bychkov,Valery A. Kalyagin,Oleg Prokopyev Conference proceedin

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Social Mechanisms of the Subject Area Formation. The Case of “Digital Economy”t and semantic areas. In this article, a wide range of texts about the digital economy was analyzed, making it possible to show the thematic structure of this subject area. Central and peripheral concepts were identified to characterize theoretical core concepts and related topics clarifying the app

intrigue

Methodology for Measuring Polarization of Political Discourse: Case of Comparing Oppositional and PaFacebook, VKontakte, and LiveJournal were analyzed, and 35 000 most frequent speech markers were processed, of which 1800 markers were selected for analysis. The alternative method to TF–IDF metric for specific text markers identification is proposed. The features of oppositional discourse in compar

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Network Analysis Methodology of Policy Actors Identification and Power Evaluation (The Case of the Utext parsing and mining, and producing networks with analysis of the text processing results. We used the example of the Russian Unified State Exam, as the real case of policy formulation and implementation, to test the proposed methodology. The methodology was shown to have great potential for veri

噴油井

Network Structure and Scheme Analysis of the Russian Language Segment of Wikipedia the trend. We found that these artifacts were induced by using navigation templates in Wikipedia articles. For eliminating these artifacts, we include a new type of nodes and links, representing Wikipedia templates and their references, into the Wikipedia network scheme. It enables separating artic

EXALT

The Existence and Uniqueness Theorem for Initial-Boundary Value Problem of the Same Class of Integroass of Integro-differential equations will attract great attention for further research. The solution of the nonlinear problem has a curious nontrivial property, and the existence and uniqueness theorem of the original problem will help to justify the application of various applications to her.

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2194-1009 lysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, andbiclustering algorithms are presented with applications to social network analysis..978-3-030-37159-3978-3-030-37157-9Series ISSN 2194-1009 Series E-ISSN 2194-1017

Anonymous

Pierre Miasnikof,Leonidas Pitsoulis,Anthony J. Bonner,Yuri Lawryshyn,Panos M. Pardalos

溫室

Anna Averchenkova,Alina Akhmetzyanova,Konstantin Sudarikov,Stanislav Petrov,Ilya Makarov,Mikhail Pen

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