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Измерение социальных процессов в политической сфере, бизнесе и обществе в целом с использованием инструментов сетевого анализа

Приоритетные направления развития: социология
2019

Публикации по проекту:


Kuskova V., Gregory Khvatsky, Zaytsev D. G., Talovsky N. Multilevel exponential random graph models application to civil participation studies Exponential Random Graph Models), in: Proceedings of Analysis of Images, Social Networks and Texts – 9th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science. Springer, 2019.
Mali F., Pustovrh T., Marjan C., Ferligoj A. The personal factors in scientific collaboration: views held by slovenian researchers // Corvinus Journal of Sociology and Social Policy. 2018. No. 10. P. 3-24. doi
Zaytsev D. G., Kuskova V., Talovsky N., Khvatsky Gregory. The entity name identification in classification algorithm: Testing the Advocacy Coalition Framework by Document Analysis (the Case of Russian Civil Society Policy), in: Proceedings of Analysis of Images, Social Networks and Texts – 9th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science. Springer, 2019.
Zaytsev D. G., Gregory Khvatsky, Talovsky N., Kuskova V. Network Analysis Methodology of Policy Actors Identification and Power Evaluation (the case of the Unified State Exam introduction in Russia), in: Network Algorithms, Data Mining, and Applications. Springer Proceedings in Mathematics & Statistics. Springer, 2019.
Моисеев С. П. Грушинский концепт "масса" в новую эпоху: сеть, рой, множество и племя // В кн.: Открывая Грушина Т. 5. М. : Факультет журналистики МГУ имени М.В. Ломоносова, 2019. С. 199-214.
Cugmas M., Ferligoj A., Kronegger L. Scientific co-authorship networks, in: Advances in Network Clustering and Blockmodeling / Ed. by P. Doreian, V. Batagelj, A. Ferligoj. Wiley Series in Computational and Quantitative Social Science. Wiley, 2020. Ch. 13. P. 355-380.
ŽNIDARŠIČ A., Doreian P., Ferligoj A. Treating missing network data before partitioning, in: Advances in Network Clustering and Blockmodeling / Ed. by P. Doreian, V. Batagelj, A. Ferligoj. Wiley Series in Computational and Quantitative Social Science. Wiley, 2020. Ch. 7. P. 185-216.
Batagelj V. Corrected overlap weight and clustering coefficient., in: Challenges in Social Network Research- Methods and Applications. Springer, 2019. Ch. . P.  - .
Batagelj V. Clustering approaches to networks, in: Advances in Network Clustering and Blockmodeling / Ed. by P. Doreian, V. Batagelj, A. Ferligoj. Wiley Series in Computational and Quantitative Social Science. Wiley, 2020. Ch. 3. P. 63-102.
Batagelj V., Ferligoj A., Doreian P. Bibliometric analyses of the network clustering literature, in: Advances in Network Clustering and Blockmodeling / Ed. by P. Doreian, V. Batagelj, A. Ferligoj. Wiley Series in Computational and Quantitative Social Science. Wiley, 2020. Ch. 2. P. 11-62.
Advances in Network Clustering and Blockmodeling / Ed. by P. Doreian, V. Batagelj, A. Ferligoj. Wiley Series in Computational and Quantitative Social Science. Wiley, 2020.
Oldring A., Brand A. 1 Tweeting Tsunami: Influence and Early Warning in British Columbia // Canadian Journal of Communication. 2019
Градосельская Г. В., Щеглова Т. Е. Теоретические основы исследования информационных волн в социальных сетях // В кн.: УПРАВЛЕНИЕ РАЗВИТИЕМ КРУПНОМАСШТАБНЫХ СИСТЕМ MLSD'2019 / Под общ. ред.: С. Н. Васильев, А. Цвиркун. ИПУ РАН, 2019. С. 1196-1199.
Kuskova V., Zaytsev D. G., Khvatskiy G., Lushnikova P. Cross-efficiency of international sanctions: Application of Data Envelopment Analysis and Network Methodology, in: Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science Vol. 1086. Springer, 2019.
Градосельская Г. В., Щеглова Т. Е., Карпов И. А. Картирование политически активных групп в Фейсбуке: динамика 2013-2018 гг. // Вопросы кибербезопасности. 2019. Т. 4. № 32. С. 94-104. doi
Maltseva D. V., Zurc J., Moiseev S. Mixed methods research: the development of the field // Journal of Mixed Methods Research. 2019
Maltseva D. V., Batagelj V. X-metrics: the development of the fields of bibliometrics, scientometrics, informetrics, and others // Scientometrics. 2019
Žnidaršxc A., Bagga A., Brezavšcek A., Maltseva D. V. The analysis of keywords in the field of green information systems and green information technology // Network Science. 2019
Inshakov I., Maltseva D. V. Biopolitics: Studying the Development of the Field Using SNA // Foucault Studies. 2019
Булычева Е. Е., Мальцева Д. В. История социологии: Взгляд на развитие дисциплины сквозь призму анализа сети цитирований // Социологические исследования. 2019
Maltseva D. V., Batagelj V. Towards a Systematic Description of the Field Using Keywords Analysis: Main Topics in Social Networks // Scientometrics. 2019
Batagelj V., Maltseva D. V. Temporal Bibliographic Networks // Journal of Informetrics. 2019
Cugmas M., Žiberna A., Ferligoj A. Mechanisms generating asymmetric core-cohesive blockmodels // Metodoloski Zvezki. 2019. Vol. 16. No. 1. P. 17-41.
Zaytsev D. G., Galina A., Сокол А. А. Cross-National Comparison of Protest Publics’ Roles as Drivers of Change: From Clusters to Models, in: Protest Publics. Toward a New Concept of Mass Civic Action / Отв. ред.: N. Y. Belyaeva, D. G. Zaytsev, V. A. Albert. Switzerland : Springer, 2019. doi P. 157-182. doi