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Proceedings of the 6th International Conference on Knowledge Discovery and Data Mining, Workshop on Social Network Mining and Analysis
ACM, 2012.
The sixth SNA-KDD workshop (www.snakdd.com) is proposed as the sixth in a successful series of workshops on social network mining and analysis co-held with KDD, soliciting experimental and theoretical work on social network mining and analysis in both online and offline social network systems.
Bartunov S., Korshunov A., Park S. et al., , in : Proceedings of the 6th International Conference on Knowledge Discovery and Data Mining, Workshop on Social Network Mining and Analysis. : ACM, 2012.
In the modern Web, it is common for an active person to have several profiles in different online social networks. As new general-purpose and niche social network services arise every year, the problem of social data integration will likely remain actual in the nearest future. Discovering multiple profiles of a single person across different social ...
Added: March 4, 2015
Cham : Springer, 2014
The CCIS series is devoted to the publication of proceedings of computer science conferences. Its aim is to efficiently disseminate original research results in informatics in printed and electronic form. While the focus is on publication of peer-reviewed full papers presenting mature work, inclusion of reviewed short papers reporting on work in progress is welcome, ...
Added: October 15, 2014
Chepovskiy A., Chepovskiy A., Polyakov I. V. et al., Journal of Mathematical Sciences 2019 Vol. 237 No. 3 P. 426-431
This article describes the problem of analysis of social network graphs and other interacting objects. It also presents community detection algorithms in social networks and their classification and analysis. In addition, it considers applicability of algorithms for real tasks in social network graph analysis. ...
Added: June 5, 2019
Коломейченко М. И., Polyakov I. V., Chepovskiy A. et al., Фундаментальная и прикладная математика 2016 Т. 21 № 3 С. 131-139
This article describes the problem of analysis of social network graphs and other interacting objects. It also presents community detection algorithms in social networks, their classification and analysis. In addition, it considers applicability of algorithms for real tasks in social network graph analysis. ...
Added: February 23, 2017
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
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
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
Springer, 2014
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and ...
Added: September 30, 2014
Shalileh S., Mirkin B., Social Network Analysis and Mining 2021 Vol. 11 No. 1 P. 1-23
A feature-rich network is a network whose nodes are characterized by categorical or quantitative features. We propose a data-driven model for finding a partition of the nodes to approximate both the network link data and the feature data. The model involves summary quantitative characteristics of both network links and features. We distinguish between two modes ...
Added: July 29, 2021
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
Лещёв Д. А., Сучков Д. В., Хайкова С. П. et al., Вопросы кибербезопасности 2019 Т. 32 № 4 С. 61-71
The purpose of the study: development of methods for analyzing the graph of interacting objects based on the detection of implicit communities in order to solve the problems of searching for the proximity of profiles and the exchange, distribution of information between objects.
Method: importing data from social networks with the subsequent construction of a weighted ...
Added: August 2, 2019
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
FRUCT Oy, 2016
Proceeding of the AINL FRUCT: Artificial Intelligence and Natural Language Conference 2016 ...
Added: October 19, 2016
Chepovskiy A., Lobanova S., Business Informatics 2017 Vol. 42 No. 4 P. 64-73
A method for detecting intersecting and nested communities in graphs of interacting objects of different nature is proposed and implemented. For this, two classical algorithms are taken: a hierarchical agglomerate and based on the search for k -cliques. The presented combined method is based on their consistent application. In addition, parametric options are developed that ...
Added: August 2, 2019
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
Malaga : CEUR Workshop Proceedings, 2015
Social network analysis (SNA) is a multidisciplinary research area that has attracted many researchers from different disciplines such as Physics, Mathematics, Sociology, Biology and Computer Science, and has been studied according to different approaches and techniques. A social network is a dynamic structure (generally represented as a graph) of a set of entities/actors (nodes) together ...
Added: October 19, 2015
Semenov A., Natekin A., Nikolenko S. I. et al., Springer, 2015
In online social networks, high level features of user behavior such as character traits can be predicted with data from user profiles and their connections. Recent publications use data from online social networks to detect people with depression propensity and diagnosis. In this study, we investigate the capabilities of previously published methods and metrics applied to the Russian online social ...
Added: December 21, 2015
Miasnikof P., Shestopaloff A. Y., Bonner A. J. et al., Journal of Complex Networks 2020 Vol. 8 No. 3 P. 1-33
We introduce graph clustering quality measures based on comparisons of global, intra- and inter-cluster densities, an accompanying statistical significance test and a step-by-step routine for clustering quality assessment. Our work is centred on the idea that well-clustered graphs will display a mean intra-cluster density that is higher than global density and mean inter-cluster density. We ...
Added: August 4, 2020
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
Мальков Ю. А., Ponomarenko A., Plos One 2016 Vol. 11 No. 6 P. 1-14
Navigability, an ability to find a logarithmically short path between elements using only local information, is one of the most fascinating properties of real-life networks. However, the exact mechanism responsible for the formation of navigation properties remained unknown. We show that navigability can be achieved by using only two ingredients present in the majority of ...
Added: September 9, 2016
Springer, 2021
This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic.
The 27 full papers and 4 short papers presented ...
Added: October 7, 2020
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
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
Chernyshev S. V., Cherepanov E. A., Pankratiev E. V. et al., Journal of Mathematical Sciences 2005 Vol. 128 No. 6 P. 3487-3495
Added: January 27, 2014
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