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Pro-ling less active users in online communities
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Barysheva A., Golubtsova A., Yavorskiy R.
Our research is focused on the study of social interactions of online community users, especially in business-oriented social network- ing services like LinkedIn or Habrahabr. The general aim of the work is to design methods for profiling of discussion participants within groups according to their interaction patterns. One of our goals is to make the approach independent from the language of communication, that is why we build our analysis on the comments graph and do not use information from the posts content. This paper suggest FCA based approach to pro-filing less active users for which not much data is available and statistical analysis is not applicable.
Language:
English
In book
Issue 1534: SNAFCA 2015 Social Network Analysis using Formal Concept Analysis. , Malaga : CEUR Workshop Proceedings, 2015
Demin P., Сорочан Е. А., Мониторинг общественного мнения: Экономические и социальные перемены 2020 № 5 С. 308-339
The study reveals the features of emergence and existence of social communities during the evolution of society. FlossTube association as the example of a long-term stable community is analyzed in order to clarify the reasons for existence of modern online communities. The study presents the organizational structure of the community, a typology of its participants, ...
Added: November 2, 2020
Rykov Y., Журнал социологии и социальной антропологии 2013 Т. XVI № 4 С. 44-60
Structures of social inequality and new forms of power inevitably arise inside the social space within the modern Internet despite the idea that Internet is a means of free communication based on the equality of users. The influence of traditional social inequality forms is absorbed and reduced within computer-mediated communication, so we suggest a hypothesis ...
Added: January 10, 2014
Yavorskiy R., Voznesenskaya T., Рудаков К. А., , in : Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science. Vol. 11179.: Berlin : Springer, 2018. Ch. 1. P. 3-9.
We present in the form of two visualizations some preliminary results of the ongoing study of data science community in Russia. The rst visualization aggregates data about top researches and their elds of interest according to the Google Scholar service. The second graph is a map of the largest online communities on date science on ...
Added: October 4, 2018
Kim A., Maltseva D., / Cornell University. Series Computer Science "arxiv.org". 2021.
This study deals with the stability evaluation of the online community of Russian sociologists. Based on the data from the Facebook group, which consists of 7 years of communication from 2011 till 2018, we constructed the networks based on commenting and reacting. The participants activity includes four main periods for stability evaluation of the community. ...
Added: October 19, 2021
Network Structure of an AIDS-denialist Online Community: Identifying Core Members and the Risk Group
Rykov Y., Meylakhs P., Sinyavskaya Y., / Высшая школа экономики. Series SOC "Sociology". 2016. No. 71.
Background: With the rapid growth of online social network sites (SNS), the issue of health-related online communities and its social and behavioral implications have become increasingly important for public health and healthcare. Unfortunately, online communities often become vehicles for promotion of pernicious misinformation, for example, alleged harm of vaccination or that HIV-virus is a myth ...
Added: October 11, 2016
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
Kim A., Maltseva D., Monitoring Obshchestvennogo Mneniya: Ekonomichekie i Sotsial'nye Peremeny 2024 No. 1 P. 202-228
This study deals with an approach to stability evaluation of the community structure on the example of Russian sociologists’ Facebook group. Based on the data from the Facebook group, which consists of 7 years of communication from 2011 till 2018, we constructed the networks based on commenting and reacting. The participants’ activity includes four main ...
Added: December 7, 2023
Kim A., Maltseva D., Monitoring Obshchestvennogo Mneniya: Ekonomichekie i Sotsial'nye Peremeny 2022
*Реализация соц. сети Facebook запрещена на территории России по основаниям осуществления экстремистской деятельности.
This study deals with the stability evaluation of the online community of Russian sociologists. Based on the data from the Facebook group, which consists of 7 years of communication from 2011 till 2018, we constructed the networks based on commenting and reacting. The ...
Added: October 28, 2021
Orlova G., Социология власти 2018 № 3 С. 93-126
В содержательном плане эта статья, сочетающая в себе визуальное исследование и цифровую этнографию зрения, посвящена локальным способам смотрения, которые практикуют участники сообщества «Ретро Обнинск», когда рассматривают старые фотографии «города мирного атома». В плане эпистемологическом она фиксирует цифровые сдвиги в работе социального исследователя, использующего качественные подходы: необходимость совместной распределенной работы, накопление и обработку укрупненных данных, насыщение ...
Added: February 13, 2019
Chepovskiy A., Соколова Т. В., В кн. : Сборник трудов Международной научной конференции SCVRT2017. : М., Протвино : Институт физико-технической информатики, 2017. С. 198-201.
Работа посвящена задаче по формированию профилей пользователей на основе данных из социальных
сетей на примере социальной сети Вконтакте. Основной целью проведенного исследования являлась под-готовка программного инструментария для анализа пользователей социальной сети. ...
Added: February 23, 2018
Koltsov S., Ignatenko V., Pashakhin S., , in : Intelligent Computing: SAI 2020: Volume 3. Vol. 1230. Book 3.: Cham : Springer, 2020. P. 560-569.
Clustering large and heterogeneous data of user-profiles from social media is problematic as the problem of finding the optimal number of clusters becomes more critical than for clustering smaller and homo- geneous data. We propose a new approach based on the deformed R ́enyi entropy for determining the optimal number of clusters in hierarchical clustering ...
Added: October 22, 2019
Соколова Т. В., Chepovskiy A., Вопросы кибербезопасности 2019 № 4(32) С. 88-93
Цель исследования: классификация методов, используемых для решения проблемы восстановления профилей пользователей социальных сетей
Метод: систематизация и классификация методов, применяемых для предсказания недостающих характеристик в профиле пользователя.
Полученные результаты: выделены три группы методов восстановления профилей пользователей социальных сетей, для каждой из групп представлены примеры используемых подходов. ...
Added: August 10, 2019