• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Modeling Network Dynamics of MOOC Discussion Interactions at Scale
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Modeling Network Dynamics of MOOC Discussion Interactions at Scale

P. 336–337.
Zhang J., Skryabin M.

This paper attempts to model network dynamics of MOOC discussion interactions. It contributes to providing alternatives to conducting null hypothesis significance testing in educational studies. Using data collected from two successive psychology MOOCs in 2014 and 2015, the probabilistic longitudinal network analysis was performed by employing stochastic actor-based models with statistical accuracy. Understanding the mechanisms that drive the dynamics of discussions shed light on the design of a self-generated and learner-supported learning environment to meet the challenges of accommodating a massive and global student body.

Language: English
Keywords: interactionsnetwork dynamicssimulation investigation for empirical network analysis (SIENA)probabilistic longitudinal network analysispeer-supported learning

In book

International Conference on Educational Data Mining (EDM) 2017. Proceedings of the 10th International Conference on Educational Data Mining. June 25-28, 2017, Wuhan, China
[б.и.], 2017.
Similar publications
24th International Conference, NEW2AN 2024, and 17th Conference, ruSMART 2024, Marrakesh, Morocco, December 11–12, 2024, Proceedings, Part I. Internet of Things, Smart Spaces, and Next Generation Networks and Systems. (LNCS, volume 15554)
Cham: Springer, 2025.
This two-volume set LNCS 15554 and LNCS 15555 constitutes the refereed proceedings of the 24th International Conference on Next Generation Wired/Wireless Networking, NEW2AN 2024, and the 17th Conference on Internet of Things and Smart Spaces, ruSMART 2024, held in Marrakesh, Morocco, during December 11–12, 2024. The 48 full papers included in the joint proceedings were carefully ...
Added: June 11, 2025
Complex Networks & Their Applications XII: Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Volume 2
Springer, 2024.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover ...
Added: March 5, 2024
Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence
Cham: Springer, 2020.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, ...
Added: February 27, 2024
Models of Similarity in Complex Networks
Shvydun S., PeerJ Computer Science 2023 Vol. 9 Article e1371
The analysis of networks describing many social, economic, technological, biological and other systems has attracted a lot of attention last decades. Since most of these complex systems evolve over time, there is a need to investigate the changes, which appear in the system, in order to assess the sustainability of the network and to identify ...
Added: April 13, 2023
Generalized synchronization in a conservative and nearly conservative systems of star network
Srinivasan S., Prasad A., Chaos 2018 Vol. 28 No. 113107 Article 113107
We report the coexistence of synchronized and unsynchronized states in a mutually coupled star network of nearly conservative non-identical oscillators. Generalized synchronization is observed between the central oscillator with the peripherals, and phase synchronization is found among the peripherals in weakly dissipative systems. However, the basin size of the synchronization region decreases as dissipation strength ...
Added: October 29, 2021
Dynamic Analysis of the Global Financial Network
Shvydun S., , in: 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).: IEEE, 2020. P. 374–378.
Using the consolidated banking statistics (CBS) on foreign claims over the period 2005-2020, we examine the relationship between national banking systems from the network perspective. Our main goal is to identify financial communities and systemically important elements and study their evolution. We compare the snapshots of the foreign claims network and analyze how it changes ...
Added: March 31, 2021
Friends network expansion and reduction: investigating the role of structural and psychological factors
Sinyavskaya Y., Porshnev A., , in: Networks in the Global World V: Proceedings of NetGloW 2020. Lecture Notes in Networks and SystemsVol. 181.: Springer, 2021. P. 196–208.
Rich data from social network sites (SNS) attracts the attention of psychologists and sociologists interested in interpersonal dynamics, friendship networks, and social capital. The presented study explores the effect of network structural features and psychological characteristics of SNS users on changes in their friendship networks. The data from the representative and diverse sample of 375 ...
Added: September 25, 2020
Inelastic interaction and splitting of strain solitons propagating in a rod
Erofeev V. I., Kazhaev V. V., Pavlov I., Journal of Sound and Vibration 2018 Vol. 419 P. 173–182
The results of original research of the soliton interaction and the interaction of solitons with a boundary of a rod are presented in this paper. Moreover, the paper contains a brief analytical review of publications devoted to the theoretical study of the formation and peculiarities of propagation of longitudinal strain solitons in nonlinearly-elastic rods, as well as publications devoted ...
Added: January 29, 2020
Internet of Things, Smart Spaces, and Next Generation Networks and Systems. 17th International Conference, NEW2AN 2017, 10th Conference, ruSMART 2017, Third Workshop NsCC 2017, St. Petersburg, Russia, August 28–30, 2017, Proceedings
Switzerland: Springer Publishing Company, 2017.
This book constitutes the joint refereed proceedings of the 17th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2017, the 10th Conference on Internet of Things and Smart Spaces, ruSMART 2017. The 71 revised full papers presented were carefully reviewed and selected from 202 submissions. The papers of NEW2AN focus on advanced wireless ...
Added: October 29, 2019
Understanding the dynamics of MOOC discussion forums with simulation investigation for empirical network analysis (SIENA)
Zhang J., Skryabin M., Song X., Distance Education 2016 Vol. 37 No. 3 P. 270–286
This study attempts to make inferences about the mechanisms that drive network change over time. It adopts simulation investigation for empirical network analysis to examine the patterns and evolution of relationships formed in the context of a massive open online course (MOOC) discussion forum. Four network effects—homophily, reciprocity, transitivity, and preferential attachment—were tested to explain the dynamic mechanisms of ...
Added: March 2, 2019
Studies in Computational Intelligence
Springer, 2019.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory, together with a wealth of applications. It presents the peer-reviewed proceedings of the VII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2018), which was held in ...
Added: December 5, 2018
The stability of co-authorship structures
Cugmas M., Ferligoj A., Kronegger L., Scientometrics 2018 Vol. 106 No. 1 P. 163–186
This article examines the structure of co-authorship networks’ stability in time. The goal of the article is to analyse differences in the stability and size of groups of researchers that co-author with each other (core research groups) formed in disciplines from the natural and technical sciences on one hand and the social sciences and humanities ...
Added: November 2, 2018
Оценки спроса российского среднего технологического бизнеса на сотрудничество с вузами
Dezhina I., Medovnikov D., Розмирович С. Д., Журнал Новой экономической ассоциации 2017 № 4 (36) С. 81–105
The article summarizes results of a mail survey and face-to-face interviews carried in 2016 among the directors of medium-size fast-growing Russian high-tech companies aimed at analysis of intensity, directions, forms, problems and prospects of their cooperation with higher education institutes. Data from 155 questionnaires was complimented with the 15 deep interviews demonstrates that companies prefer ...
Added: January 24, 2018
Power in Network Structures
Aleskerov F. T., Meshcheryakova N., Shvydun S., , in: Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & StatisticsVol. 197.: Springer, 2017. P. 79–85.
We consider an application of power indices, which take into account preferences of agents for coalition formation proposed for an analysis of power distribution in elected bodies to reveal most powerful (central) nodes in networks. These indices take into account the parameters of the nodes in networks, a possibility of group influence from the subset ...
Added: June 26, 2017
Exponential machines
Novikov A., Trofimov M., Oseledets I., / Series stat :: arxiv :: Cornell University "stat :: arxiv :: Cornell University". 2017.
Modeling interactions between features improves the performance of machine learning solutions in many domains (e.g. recommender systems or sentiment analysis). In this paper, we introduce Exponential Machines (ExM), a predictor that models all interactions of every order. The key idea is to represent an exponentially large tensor of parameters in a factorized format called Tensor ...
Added: September 19, 2016
Modernization through large S&T projects: Assessing Russia’s Drive for Innovation-Led Development via Skolkovo Innovation Centre
Radosevic, S., Wade, I., / Series WP "Economics and Business Working Paper". 2014. No. 131.
‘Skolkovo’ innovation city near Moscow is Russia’s latest high-profile manifestation of a policy shift towards diversification and innovation based growth. This paper aims to understand the institutional, historical and comparative contexts at an early stage when implementation in Skolkovo has just begun. It also aims to analyse the opportunities and challenges offered by Skolkovo in ...
Added: December 17, 2014
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit