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Information Propagation Strategies in Online Social Networks
P. 319-328.
Online social networks play major role in the spread of information on a very large scale. One of the major problems is to predict information propagation using social network interactions. The main purpose of this paper is to construct heuristic model of weighted graph based on empirical data that can outperform the existing models. We suggest a new approach of constructing the model of information based on matching specific weights to a given network.
Keywords: social network analysis
Publication based on the results of:
In book
Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev, Irina Utkina Vol. 247. , Springer, 2018
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
Koltsova O., Koltsov S., Sinyavskaya Y., Lecture Notes in Computer Science 2017 Vol. 10540 P. 431-442
Following the discussion on the role of Internet in the formation of ties across space, this paper seeks to supplement recent findings on prevalence of location-dependent preferential attachment online. We look at networks of online communities specifically aimed at development of location-independent ties. The paper focuses on the 25 largest communities of software developers in ...
Added: October 19, 2016
Mikhaylova O., Мониторинг общественного мнения: Экономические и социальные перемены 2021 № 2 С. 28-47
Моральная паника возникает в результате веры в существование людей, поведение которых не согласуется с текущими моральными нормами, из-за чего они угрожают сохранности социума. Будучи предложенным С. Коэном в конце XX века, это понятие не нашло устойчивого места в лексиконе социальных наук, в том числе из-за трудностей его операционализации и последующего измерения. В статье мы обсуждаем ...
Added: April 22, 2021
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. ...
Added: March 4, 2015
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
Valeria Ivaniushina, Alexandrov D. A., / Высшая школа экономики. Series EDU "Education". 2013. No. 09.
This article analyzes student pro-school/anti-school attitudes on different levels and explores their relation to educational outcomes. We examine the individual level, school level, and clique level predictors (clique is defined as a tight social group within a class social network). Cliques were identified using special software called Kliquefinder. We use multi-level regression approach on a ...
Added: February 28, 2013
Rykov Y., В кн. : Интернет и современное общество: сборник тезисов докладов. Труды XIX Международной объединенной научной конференции «Интернет и современное общество» (IMS‑2016), Санкт-Петербург, 22 – 24 июня 2016 г. : СПб. : Университет ИТМО, 2016. С. 33-36.
В докладе представлены результаты анализа сетей «дружбы», сформированных участниками 55 онлайн групп в социальной сети «ВКонтакте». Предметом исследования стала оценка сетей «дружбы» с точки зрения социальной сплоченности. Для оценки сплоченности были использованы метрики сетевого анализа, для сравнения показателей между группами - линейная регрессия и дисперсионный анализ. Исследование сфокусировано на трех типах онлайн сообществ: группах поклонников, ...
Added: September 27, 2016
Zinkina J. V., Korotayev A., International Journal of Multicultural Education 2014 Vol. 8 No. 3 P. 146-160
Purpose – The current paper aims to investigate whether the structure of international migration system and its country-to-country distribution have remained stable through the recent turbulent changes in the World System, or experienced any visible alteration. We also seek to outline some of the main factors which likely exerted the most influence upon any recent ...
Added: October 7, 2014
Musabirov I., Bakhitova A., , in : Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. : [б.и.], 2018. P. 389-389.
In this work-in-progress report, we outline the first results from our study of collaboration networks in a two-year Data Science minor for non-STEM students at the Higher School of Economics, St. Petersburg, Russia. ...
Added: October 2, 2018
Chepovskiy A., Лобанова С. Ю., Бизнес-информатика 2017 Т. 42 № 4 С. 64-73
In this paper, we propose and implement a method for detecting intersecting and nested communities in graphs of interacting objects of different natures. For this, two classical algorithms are taken: a hierarchical agglomerate and one based on the search for k-cliques. The combined algorithm presented is based on their consistent application. In addition, parametric options ...
Added: December 10, 2017
Theatre Plays as ‘Small Worlds’? Network Data on the History and Typology of German Drama, 1730–1930
Fischer F., Göbel M., Kampkaspar D. et al., , in : Digital Humanities 2016. Conference Abstracts (Jagiellonian University & Pedagogical University, Kraków, 11–16 July 2016). : Kraków : [б.и.], 2016. P. 255-258.
Decades ago, alongside more traditional structuralist paradigms that were largely based on linguistic theorems (Lotman 1972, Titzmann 1977), literary studies began to undertake structural analyses based on empirical sociology, in particular the social network analysis. Structure was no longer solely defined by semantic relations (such as opposition or equivalence), but by social interactions, too (Marcus ...
Added: November 9, 2016
Safonova M., International Migration Review 2015
Added: October 25, 2013
Maltseva D., Batagelj V., Scientometrics 2021 Vol. 126 No. 4 P. 3593-3620
This paper presents the analysis of journals publishing articles on Social Network Analysis (SNA). The dataset consists of articles from the Web of Science database obtained by searching for “social network*”, works intensively cited, written by the most prominent authors, and published in the main SNA journals up to July 2018. There were 8,943 journals ...
Added: December 5, 2018
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
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
Ivaniushina V. A., Titkova V., Alexandrov D. A., BMJ Open 2019 Vol. 9 No. 7 P. 1-5
Abstract
Introduction Alcohol consumption is a considerable public health problem that is especially harmful to young people. To develop effective prevention programmes targeted at adolescents, it is important to understand the social mechanisms triggering alcohol consumption. Among such mechanisms, peer influence plays an important role. The effects of peer influence are very difficult to evaluate because of ...
Added: August 23, 2019
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
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
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
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
Maltseva D., Batagelj V., Scientometrics 2022 Vol. 127 No. 6 P. 3437-3470
This paper presents a study of authors writing articles in the field of SNA and groups them by means of bibliographic network analysis. The dataset consists of works from the Web of Science (WoS) database obtained by searching for “social network*”, works highly cited in the field, works published in the flagship SNA journals, and written ...
Added: October 28, 2021
Maltseva D., Batagelj V., / arXiv.org. Series arXiv "Physics and Society". 2018.
In this paper, we present the results of the study on the development of social network analysis (SNA) discipline and its evolution over time, using the analysis of bibliographic networks. The dataset consists of articles from the Web of Science Clarivate Analytics database and those published in the main journals in the field (70,000+ publications), ...
Added: December 17, 2018
Chepovskiy A., Leshchev D. A., Khaykova S.P., , in : Complex Networks & Their Applications IX. Volume 1: Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. : Springer, 2021. P. 38-50.
The processing of networks of interacting objects makes it possible to solve topical issues in the modern world of identifying opinion leaders and channels for the dissemination and exchange of information. In this work, the structure of networks of interacting objects and their possible analysis with the help of weighted graphs based on the interaction ...
Added: January 6, 2021
Давыденко В., Nagymanova L., Яковлева П. Э., Региональные исследования 2023
The study is devoted to the analysis of the role of city-forming enterprises of the coal industry in the economy of medium-sized single-industry towns (from 50 to 100 thousand people) using the example of the Kemerovo region. The topic of the study is related to the vulnerability of single-industry towns in conditions of external instability ...
Added: November 10, 2023