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Проблема восстановления профилей пользователей социальных сетей
Вопросы кибербезопасности. 2019. № 4(32). С. 88-93.
Соколова Т. В., Chepovskiy A.
Гомзин А. Г., С.Д. Кузнецов, Труды Института системного программирования РАН 2016 Т. 6 С. 171-184
The work is devoted to methods of social network users’ age detection. Social networks allow users to fill their profiles that may contain an age. Profiles are not fully filled, so the task of unknown attributes detection arises. Explicit and predicted values are used in recommender and marketing systems. Moreover, the predicted values can be ...
Added: January 25, 2018
Соколова Т. В., Chepovskiy A., Системы высокой доступности 2018 Т. 14 № 3 С. 82-86
This paper presents the problem of forming user profiles based ondata from social networks. For user profiling both the user and his friends data are used. Community allocation algorithms in social graphs are used to detect groups of communication. Each community has its own profile, which includes the characteristics of the users that belong to it ...
Added: October 28, 2018
Springer, 2017
The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory.
The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge ...
Added: December 17, 2017
Makarov I., Kiselev D., Gerasimova O. et al., Network Science 2020 P. 1-13
In this paper, we study network feature engineering for the problem of future co-author recommendation, also called collaborator recommender system. We present a system, which uses authors' research interests and existing collaboration information to predict missing and most probable in the future links in the co-authorship network. The recommender system is stated as a link ...
Added: October 27, 2020
Попов В. А., Chepovskiy A., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2021 Т. 19 № 2 С. 76-91
In this paper, the authors describe an algorithm for importing data from the social network Twitter and building weighted social graphs. To import data, the given posts are taken as a basis, users who have had any of the recorded interactions with them are downloaded. Further, the algorithm focuses on the given configuration and uses ...
Added: July 25, 2021
Chepovskiy A., Воронин А. Н., Ковалева Ю. В., Вопросы кибербезопасности 2020 Т. 37 № 3 С. 40-57
The purpose of the study: analysis of the graph of interacting objects of social networks based on the selection of implicit communities, assessment of the subjectivity of the selected communities and comparison of the network characteristics of communities and various indicators of their subjectivity.
Method: communities detection on the constructed weighted graph of a social network, ...
Added: August 26, 2020
Ekaterinburg : CEUR Workshop Proceedings, 2014
AIST'2014 is an international data science conference on Analysis of Images, Social Networks, and Texts. Traditionally, the conference is held annually in Yekaterinburg, Russia. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science.
LIST OF TOPICS (NON EXHAUSTIVE)
Applications of Data Mining and Machine ...
Added: August 28, 2014
Berlin : Springer, 2014
This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and ...
Added: November 13, 2014
Avrachenkov K. E., Kondratev Aleksei Y, Mazalov V. V. et al., Computational Social Networks 2018 Vol. 5 No. 11 P. 1-28
The paper is devoted to game-theoretic methods for community detection in networks. The traditional methods for detecting community structure are based on selecting dense subgraphs inside the network. Here we propose to use the methods of cooperative game theory that highlight not only the link density but also the mechanisms of cluster formation. Specifically, we ...
Added: October 30, 2018
М. : Национальный открытый университет «ИНТУИТ», 2013
Доклады Всероссийской научно-практической конференции «Анализ Изображений, Сетей и Текстов» (АИСТ, Екатеринбург, 2013). Рассматриваются проблемы в области компьютерного зрения, анализа изображений и видео, анализа форумов, блогов и социальных сетей, анализ сетевых (графовых) и потоковых данных, компьютерной обработки текстов, гео-информационных систем, математических моделей и методов анализа данных, машинного обучения и разработки данных (Data Mining), рекомендательных систем и ...
Added: March 11, 2015
Chepovskiy A., Успехи кибернетики 2023 Т. 4 № 1 С. 56-64
The paper considers the problems of analyzing graphs that represent complex networks of interacting objects. The relevant domains are described, social network graph analysis and implicit community detection are considered. The key graph-based community detection algorithms and the quality assessment of their results are discussed. The author proposed promising development trends using the graphs representing actual social ...
Added: March 31, 2023
Сергей Кузнецов, Денис Турдаков, Коршунов А. В. et al., Труды Института системного программирования РАН 2014 Т. 26 № 1 С. 439-456
В статье описаны основные компоненты разработанного в ИСП РАН стека технологий для анализа пользовательских данных из социальных сетей. Особое внимание уделяется задачам, методам и приложениям анализа сетевых (социальные связи между пользователями) и текстовых (сообщения и профили пользователей) данных: определение демографических атрибутов пользователей, поиск описаний событий в корпусах сообщений, идентификация пользователей различных сетей, поиск сообществ пользователей ...
Added: November 25, 2017
Аванесян Н. Л., Соловьев Ф. Н., Chepovskiy A., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2021 Т. 19 № 1 С. 5-14
In this paper the authors describe the methodology for the statistical analysis of texts in social networks based on comparison of automatically generated frequency dictionaries by methods of correlation analysis. Psycholinguistic characteristics and coefficients of pairwise rank correlation are considered for comparing the frequency characteristics of texts in natural language ...
Added: April 14, 2021
Switzerland : Springer, 2017
This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016. The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on machine ...
Added: October 19, 2016
Краснов Ф. В., Макаров Илья Андреевич, Вестник Евразийской науки, The Eurasian Scientific Journal, ISSN 2588-0101, https://esj.today 2018 Т. 10 № 1 С. 1-11
A collective co-authorship of scientific articles has deterministic and random structural components. In addition to the rational aspects of the team assembling of co-authors of the scientific article there are also emotional components. Over time add up and disintegrate the working groups of researchers, updated the organization workforce and the composition of the contractors that ...
Added: September 3, 2018
Aleskerov F. T., Meshcheryakova N., Shvydun S., / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2016. No. WP7/2016/04.
We propose a new method for assessing agents’ influence in network structures, which takes into consideration nodes attributes, individual and group influences of nodes, and the intensity of interactions. This approach helps us to identify both explicit and hidden central elements which cannot be detected by classical centrality measures or other indices. ...
Added: July 13, 2016
Аванесян Н. Л., Зенькова В. В., Chepovskiy A. et al., Успехи кибернетики 2023 Т. 4 № 2 С. 33-39
In this paper the authors describe the methodology for the statistical analysis of texts in the network of Telegram channels based on comparison of automatically generated frequency dictionaries by methods of correlation analysis. Coefficients of pairwise rank correlation are considered for comparing the frequency characteristics of texts in natural language. The method is proposed to ...
Added: July 19, 2023
Chuprikov P., Nikolenko S. I., Davydow A. et al., IEEE Transactions on Networking 2018 Vol. 26 No. 1 P. 342-355
Modern network elements are increasingly required to deal with heterogeneous traffic. Recent works consider processing policies for buffers that hold packets with different processing requirements (number of processing cycles needed before a packet can be transmitted out) but uniform value, aiming to maximize the throughput, i.e., the number of transmitted packets. Other developments deal with ...
Added: March 14, 2018
М. : Издательский центр «Российский государственный гуманитарный университет», 2019
Сборник включает 27 докладов международной конференции по компьютерной лингвистике и интеллектуальным технологиям «Диалог 2019», не вошедшие в ежегодник «Компьютерная лингвистика и интеллектуальные технологии», но рекомендованные Программным Комитетом к представлению на конференции. Для специалистов в области теоретической и прикладной лингвистики и интеллектуальных технологий. ...
Added: December 10, 2019
Skoptsov K. A., Sheshenin S., Galatenko V. V. et al., International Journal of Applied Mechanics 2016 Vol. 8 No. 2 P. 1650016-01-1650016-18
We present a method for evaluating elastic properties of a composite material produced by molding a resin filled with short elastic fibers. A flow of the filled resin is simulated numerically using a mesh-free method. After that, assuming that spatial distribution and orientation of fibers are not significantly changed during polymerization, effective elastic moduli of ...
Added: May 22, 2016
Goncharov R., Сапанов П. М., Яшунский А. Д., Социология власти 2013 № 3 С. 57-72
В статье представлена технология, позволяющая собирать в полевых исследованиях пространственно локализованные данные об объектах городской среды. Технология основана на автоматической привязке фотографий к пространственным координатам. Приведен план полевых и камеральных мероприятий, предложены варианты ГИС-обработки собираемых таким образом данных. В качестве примера приведены данные об использовании белорусского языка в общественном пространстве городов Белоруссии. ...
Added: April 12, 2015
Karpov V. E., Karpova I. P., Procedia Engineering 2015 Vol. 100 P. 1459-1468
Work solutions are proposed for problems of leader definition and role distribution in homogeneous groups of robots. It is shown that transition from a swarm to a collective of robots with hierarchical organization is possible using exclusively local interaction. The local revoting algorithm is central to the procedure for choice of leader while redistribution of roles can ...
Added: March 14, 2015
Красноярск : ИВМ СО РАН, 2013
Труды Пятой Международной конференции «Системный анализ и информационные технологии» САИТ-2013 (19–25 сентября 2013 г., г.Красноярск, Россия): ...
Added: November 18, 2013
Sotnikova S., Динамика сложных систем 2012 № 3 С. 84-87
In article is described designed programme complex of the physical processes modeling, which also allows to conduct the identification printed node parameters (the physical model). On printed node designed the on-board secondary power supply source is realized. For it are designed relationship interfaces of controlling program with the known program of modeling and optimization. ...
Added: December 5, 2014