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Науки о сетях: фундаментальные сетевые исследования и аналитическая поддержка принятия решений для государства и бизнеса

Приоритетные направления развития: социология, гуманитарные науки
2020

Публикации по проекту:


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. 189-224. doi
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. 11-64. doi
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. 363-387. doi
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. 65-104. doi
Булычева Е. Е., Мальцева Д. В. Выделение актуальных тематик в социологии: взгляд сквозь призму анализа сети цитирований // Мониторинг общественного мнения: Экономические и социальные перемены. 2020. № 6. С. 113-140. doi
Korenjak–Cerne S., Kejzar N., Batagelj V. Clustering and Generalized ANOVA for Symbolic Data Constructed from Open Data, in: Advances in Data Sciences: Symbolic, Complex and Network Data. ISTE, Wiley, 2020. P. 209-228. doi
Gradoselskaya G., Karpov I., Shcheglova T. Mapping of politically active groups on social networks of Russian regions (on the example of Karachay-Cherkessia Republic), in: Network Algorithms, Data Mining, and Applications. NET, Moscow, Russia, May 2018 / Ed. by I. S. Bychkov, V. A. Kalyagin, P. M. Pardalos, O. Prokopyev. Springer, 2020. doi P. 187-200. doi
Shcheglova T., Gradoselskaya G., Karpov I. Methodology for measuring polarization of political discourse: case of comparing oppositional and patriotic discourse in online social networks, in: Network Algorithms, Data Mining, and Applications. NET, Moscow, Russia, May 2018 / Ed. by I. S. Bychkov, V. A. Kalyagin, P. M. Pardalos, O. Prokopyev. Springer, 2020. doi P. 219-230. doi
Zaytsev D., Kuskova V., Lushnikova P., Khvatsky Gregory. 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, 2020. doi P. 72-82. doi
Zaytsev D., 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, 2020. doi P. 231-244. doi
Batagelj V. On Fractional Approach to Analysis of Linked Networks // Scientometrics. 2020. Vol. 123. P. 621-633. doi
Batagelj V., Maltseva D. Temporal Bibliographic Networks // Journal of Informetrics. 2020. Vol. 14. No. 1. P. 1-14. doi
Zaytsev D., Kuskova V. Data Envelopment Analysis as a Tool to Evaluate Marketing Policy Reliability, in: Reliability and Statistical Computing. Springer, 2020. doi P. 289-304. doi
Advances in Network Clustering and Blockmodeling / Ed. by P. Doreian, V. Batagelj, A. Ferligoj. Wiley Series in Computational and Quantitative Social Science. Wiley, 2020.
Shmaltsev Nikita Iosifovich, Zaytsev D. Protesters as the “Challengers of the Status Quo” in Embedded Democracies: The Cases of Iceland, the United Kingdom, and the United States, in: Protest Publics. Toward a New Concept of Mass Civic Action / Отв. ред.: N. Y. Belyaeva, D. Zaytsev, V. A. Albert. Switzerland : Springer, 2019. doi P. 183-201. doi
Zaytsev D., Galina A., Sokol A. 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. Zaytsev, V. A. Albert. Switzerland : Springer, 2019. doi P. 157-182. doi
Batagelj V. Corrected overlap weight and clustering coefficient., in: Challenges in Social Network Research - Methods and Applications. Springer, 2020. doi Ch. . P. 1-16. doi
Batagelj V., Kejzar N., Korenjak–Cerne S. Clustering of modal-valued symbolic data // Advances in Data Analysis and Classification. 2020. P.  - . doi
Oldring A., Milekhina A., Brand A. Tweeting Tsunami: Influence and Early Warning in British Columbia // Canadian Journal of Communication. 2020. Vol. 45. No. 3. P. 387-409. doi
Ferligoj A., Cugmas M., Kogovšek T., Batagelj Z. The social support networks of elderly people in Slovenia during the Covid-19 pandemic // Plos One. 2020
Maltseva D., Batagelj V. Journals Publishing Social Network Analysis // Scientometrics. 2020
Ferligoj A., Batagelj V., Doreian P. Conclusions and Directions for Future Work, 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. 14. P. 389-397. doi
Зангиева И. К., Лесных К. А. Межгрупповые различия в установках к людям с расстрой­ствами аутистического спектра (РАС) // Мониторинг общественного мнения: Экономические и социальные перемены. 2020. № 5. С. 559-577. doi