Vladimir Batagelj
- Senior Research Fellow:International laboratory for Applied Network Research
- Vladimir Batagelj has been at HSE University since 2014.
Education and Degrees
- 1989
PhD
Edvard Kardelj University in Ljubljana - 1985
Master's
Edvard Kardelj University in Ljubljana - 1973
Bachelor's
University of Ljubljana
Student Term / Thesis Papers
- Master
K. Ivanov, Statistical Errors in Co-authorship Networks. International laboratory for Applied Network Research, 2020
F. Vaca ramirez, Urban Networks Clustering Using Graph Embeddings. International laboratory for Applied Network Research, 2019
Courses (2020/2021)
- Advanced Network Analysis Methods (Master’s programme; International laboratory for Applied Network Research; 1 year, 3, 4 module)Eng
- Exploratory Data Analysis (Master’s programme; International laboratory for Applied Network Research; 1 year, 1, 2 module)Eng
- Exploratory Data Analysis (Master’s programme; International laboratory for Applied Network Research; 2 year, 1, 2 module)Eng
Introduction to Network Analysis (Master’s programme; International laboratory for Applied Network Research; field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика"; 1 year, 1, 2 module)Eng
Courses (2019/2020)
- Advanced Network Analysis Methods (Master’s programme; International laboratory for Applied Network Research; 1 year, 3, 4 module)Eng
- Exploratory Data Analysis (Master’s programme; International laboratory for Applied Network Research; 2 year, 1, 2 module)Eng
- Exploratory Data Analysis (Master’s programme; International laboratory for Applied Network Research; 1 year, 1, 2 module)Eng
- Introduction to Network Analysis (Master’s programme; International laboratory for Applied Network Research; 1 year, 3 module)Eng
- Past Courses
Courses (2018/2019)
- Advanced Network Analysis Methods (Master’s programme; International laboratory for Applied Network Research; 1 year, 3, 4 module)Eng
- Exploratory data analysis (Master’s programme; International laboratory for Applied Network Research; 1 year, 1, 2 module)Eng
- Introduction to Network Analysis (Studied in English) (Master’s programme; International laboratory for Applied Network Research; 1 year, 1, 2 module)Eng
- Statistical learning theory (Master’s programme; International laboratory for Applied Network Research; 1 year, 1, 2 module)Eng
Publications24
- Book AIST: International Conference on Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / Ed. by W. van der Aalst, V. Batagelj, D. I. Ignatov, М. Ю. Хачай, V. Kuskova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. V. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 1086. Cham: Springer, 2020. doi
- Book Advances in Network Clustering and Blockmodeling / Ed. by P. Doreian, V. Batagelj, A. Ferligoj. Wiley Series in Computational and Quantitative Social Science. Wiley, 2020.
- Book Analysis of Images, Social Networks and Texts. AIST 2019. Communications in Computer and Information Science, vol 1086 / Ed. by W. van der Aalst, V. Batagelj, M. Khachay, V. Kuskova, A. Kutuzov, S. Kuznetsov, A. Napoli, I. Lomazova, N. Loukachevitch, P. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 1086. Springer, 2020. doi
- Chapter 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. 11-63.
- Chapter 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.
- Chapter 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.
- Article Batagelj V., Maltseva D. Temporal Bibliographic Networks // Journal of Informetrics. 2020. Vol. 14. No. 1. P. 1-14. doi
- Article Maltseva D., Batagelj V. Towards a systematic description of the field using keywords analysis: main topics in social networks // Scientometrics. 2020. Vol. 123. No. 1. P. 357-382. doi
- Article Maltseva D., Batagelj V. iMetrics: the development of the discipline with many names // Scientometrics. 2020. P. - . doi
- Book Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Lecture Notes in Computer Science, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Y. Khachay, V. Kuskova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 11832. Cham : Springer, 2019. doi
- Article Maltseva D., Batagelj V. Social network analysis as a field of invasions: bibliographic approach to study SNA development // Scientometrics. 2019. Vol. 121. No. 2. P. 1085-1128. doi
- Book de Nooy W., Mrvar A., Batagelj V. Exploratory Social Network Analysis with Pajek. Revised and Expanded Edition for Updated Software. Third edition.. Cambridge : Cambridge University Press, 2018. doi
- Book 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 / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi
- Preprint Maltseva D., Batagelj V. Social Network Analysis: Bibliographic Network Analysis of the Field and its Evolution / Part 1. Basic Statistics and Citation Network Analysis / arXiv.org. Series arXiv "Physics and Society". 2018.
- Book Supplementary Proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2018), Moscow, Russia, July 5-7, 2018 / Ed. by W. van der Aalst,, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay,, O. Koltsova,, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Aachen : CEUR Workshop Proceedings, 2018. (in press)
- Chapter Batagelj V., Mrvar A. Pajek and PajekXXL, in: Encyclopedia of Social Network Analysis and Mining. 2nd Ed.. NY : Springer, 2017. doi P. 1-13. doi
- Chapter Batagelj V. Python packages for networks, in: Encyclopedia of Social Network Analysis and Mining. 2nd Ed.. NY : Springer, 2017. doi doi
- Chapter CERINŠEK M., Batagelj V. Semirings and matrix analysis of networks, in: Encyclopedia of Social Network Analysis and Mining. 2nd Ed.. NY : Springer, 2017. doi doi
- Chapter CERINŠEK M., Batagelj V. Sources of network data, in: Encyclopedia of Social Network Analysis and Mining. 2nd Ed.. NY : Springer, 2017. doi P. 1-9. doi
- Article Batagelj V., Ferligoj A., SQUAZZONI F. The emergence of a field : a network analysis of research on peer review. // Scientometrics. 2017. Vol. 113. No. 1. P. 503-532. doi
- Article Batagelj V., PRAPROTNIK S. An algebraic approach to temporal network analysis based on temporal quantities // Social Network Analysis and Mining. 2016. Vol. 6. No. 1. P. 1-22. doi
- Article Mrvar A., Batagelj V. Analysis and visualization of large networks with program package Pajek // Complex Adaptive Systems Modeling. 2016. Vol. 4. P. 1-8. doi
- Article Batagelj V., Praprotnik S. Spectral centrality measures in temporal networks // Ars Mathematica Contemporanea. 2016. Vol. 11. No. 1. P. 11-33.
Conferences
Detailed information on the conference participation can be found here (sections 1.06 - 1.13).
- 2019XXXIX Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA) (Montreal). Presentation: Authors in the Field of SNA: Derived Networks and Temporal Analysis
A new book of scientific supervisors of ANR-Lab Anuška Ferligoj and Vladimir Batagelj, dedicated to new achievements in blockmodeling
In January 2020, Wiley published the book "Advances in Network Clustering and Blockmodeling", edited by the ANR-Lab leading foreign experts Anuška Ferligoj and Vladimir Batagelj, jointly with Patrick Doreian. The work contains an overview of developments and achievements in the field of network clustering and blockmodeling over the past 10 years.
ANR-Lab at the international workshop ARS'2019 in Salerno
The 7th international workshop on the analysis of social networks was held on October 29-31 in Salerno, Italy. The workshop was about multilayer, multilevel and multimode networks. Some of our laboratory members and students of the master's program presented the results of their research on the thematic sessions.
ANR-Lab at the 4th European Conference on Social Networks (EUSN 2019)
ANR-Lab members took part in the 4th European Conference on Social Networks (EUSN 2019), whichwas held on September 9-12 in Zurich, Switzerland.
10th International Summer School “Analysis of Scientific Networks” and International Workshop on Scientific Networks
ANR-Lab, jointly with the Faculty of Social Sciences, University of Ljubljana, has conducted the 10th International Summer School “Analysis of Scientific Networks” and the International Workshop on Scientific Networks.
ANR-Lab at XXXIX Sunbelt Social Networks Conference
ANR-Lab members took part in the main event in the field of social network analysis – XXXIX SunbeltSocial Networks Conference in Montreal, Canada.
ANR-Lab at the XX April International Scientific Conference of the Higher School of Economics
At the XX April International Academic Conference on Economic and Social Development, ANR-Lab organized its own section "Network Analysis".
Studying Applied Statistics and Network Analysis at HSE Moscow
Felipe Vaca Ramirez and Paco Arevalo Reyes, both from Ecuador, are second-year students in HSE’s Master’s programme in ‘Applied Statistics with Network Analysis’. Having heard about Russia’s rich mathematical tradition and the high academic standing of HSE, they both decided to study in Moscow despite how far away from home it is. Felipe and Paco share a background in economics, and the HSE programme’s focus on statistics and data and network analysis was a huge draw for them. Affordable tuition fees and multicultural environment were additional bonuses.
December course of prof. Batagelj "Introduction to Network Analysis" has come to an end
An introductory course on Network Analysis for first-year students was conducted under the guidance of the prof. Vladimir Batagelj, University of Ljubljana.
Daria Maltseva made a presentation at the “Sredin Seminar” at the Faculty of Mathematics of the University of Ljubljana
On November 21 and 28, ANR-Lab senior research fellow Daria Maltseva made a presentation at the “Sredin Seminar” (No. 1282/1283) at the Faculty of Mathematics of the University of Ljubljana.
The course of prof. Vladimir Batagelj "Exploratory Data Analysis" is completed
Vladimir Batagel, the professor at the University of Ljubljana, finished lecturing on the course “Exploratory Data Analysis” in the framework of the ANR-Lab's Master's programme “Applied Statistics with Social Network Analysis”.
Daria Maltseva at the 15`th Applied Statistics International Conference in Slovenia
Deputy Head of ANR-Lab Daria Maltseva took part in the 15th International Conference on Applied Statistics, which was held on September 23-26 in Ribno, Bled (Slovenia).
First ANR-Lab's International Conference on Social Network Analysis
On November 20-21, The NRU HSE International Laboratory for Applied Network Research held its First International Conference on Social Network Analysis. The conference was organized in cooperation with the NRU HSE Faculty of Management, as part of its 7th Annual Conference "Contemporary Problems in Management: Exploring the Boundaries".
