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Vladimir Batagelj

Biographic Data

ID633215
NAMEVladimir Batagelj
GIVEN NAMESVladimir
FAMILY NAMEBatagelj
SIGNATUREBATAGELJ V
AFFILIATIONSUniversity of Ljubljana
ORCID0000-0002-0240-9446
VERIFIEDYes
TOTAL WORKS35
TOTAL CITATIONS37
AUTHOR COUNT35
EDITOR COUNT0
FIRST PUBLICATION YEAR1992
LATEST PUBLICATION YEAR2026
H-INDEX4
  • Mapping core collaboration structures in research universities

    Open Access•Nataliya Matveeva, A Ferligoj et al.•ARTICLE•Scientometrics•2026

  • Bridging borders or widening gaps? The dynamics of European scientific collaboration networks

    Open Access•A Ferligoj, Vladimir Batagelj et al.•ARTICLE•Scientometrics•2025

    The study explores a dynamic co-authorship network among European countries between 1990 and 2023 that arose from an interplay of geographical, linguistic, and historical factors which influenced the scientific collaboration. In the analysis, bibliometric data from OpenAlex are used in Indirect Blockmodeling (IB) and Dynamic Stochastic Blockmodeling (DSBM) to examine patterns in three critical periods: rise of the Internet (1994–2003), enlargemen…

  • On weighted two-mode network projections

    Open Access•Vladimir Batagelj•ARTICLE•Scientometrics•2024

  • Weighted degrees and truncated derived bibliographic networks

    Open Access•Vladimir Batagelj•ARTICLE•Scientometrics•2024

  • Cores in multiway networks

    Open Access•Vladimir Batagelj•ARTICLE•Social Network Analysis and Mining•2024

  • Scientific collaboration of post-Soviet countries

    Open Access•Nataliya Matveeva, Vladimir Batagelj et al.•ARTICLE•Scientometrics•2023

  • Collaboration between authors in the field of social network analysis

    Open Access•Daria Maltseva, Vladimir Batagelj•ARTICLE•Scientometrics•2022

  • Analysis of the Southern women network using fractional approach

    Open Access•Vladimir Batagelj•ARTICLE•Social Networks•2022•Cited by: 3•References: 14

  • Journals publishing social network analysis

    Open Access•Daria Maltseva, Vladimir Batagelj•ARTICLE•Scientometrics•2021

  • Towards a systematic description of the field using keywords analysis

    Open Access•Daria Maltseva, Vladimir Batagelj•ARTICLE•Scientometrics•2020

  • IMetrics

    Open Access•Daria Maltseva, Vladimir Batagelj•ARTICLE•Scientometrics•2020

  • On fractional approach to analysis of linked networks

    Open Access•Vladimir Batagelj•ARTICLE•Scientometrics•2020

  • An algebraic approach to temporal network analysis based on temporal quantities

    Open Access•Vladimir Batagelj, Selena Praprotnik•ARTICLE•Social Network Analysis and Mining•2016

  • Generalized two-mode cores

    Open Access•Monika Cerinšek, Vladimir Batagelj•ARTICLE•Social Networks•2015

  • A weighted clustering of population pyramids for the world's countries, 1996, 2001, 2006

    Simona Korenjak-Černe, Simona Korenjak‐Černe et al.•ARTICLE•Population Studies•2015•Cited by: 1•References: 14

    This paper presents clusters of the world's countries obtained by a novel weighted clustering method. The approach is based on data representations with symbolic descriptions of age-sex structures. To obtain clusters with similar descriptions, a weighted clustering method is used which is suitable for data described with discrete distributions. In contrast to the classical approach, this method allows the population of each sex to be included in …

  • Pajek

    Open Access•Vladimir Batagelj, Andrej Mrvar•CHAPTER•Encyclopedia of Social Network…•2014

  • Semirings and Matrix Analysis of Networks

    Open Access•Monika Cerinšek, Vladimir Batagelj•CHAPTER•Encyclopedia of Social Network…•2014

  • Sources of Network Data

    Open Access•Monika Cerinšek, Vladimir Batagelj•CHAPTER•Encyclopedia of Social Network…•2014

  • Models and Methods in Social Network Analysis

    P V Marsden, Ove Frank et al.•BOOK•Models and Methods in Social…•2012

  • Exploratory Social Network Analysis with Pajek

    Open Access•W De Nooy, Andrej Mrvar et al.•BOOK•Exploratory Social Network…•2011

    An extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software and data sets are available so readers can learn network analysis through application and case studies. Readers will have the knowledge, skill and tools to apply…

  • Probabilistic Inductive Classes of Graphs

    Nataša Kejžar, ZORAN NIKOLOSKI et al.•ARTICLE•Journal of Mathematical Sociology•2008•Cited by: 1•References: 1

    A unifying framework—probabilistic inductive classes of graphs (PICGs)—is defined by imposing a probability space on the rules and their left elements from the standard notion of inductive class of graphs. The rules can model the processes creating real-world social networks, such as spread of knowledge, dynamics of acquaintanceships or sexual contacts, and emergence of clusters. We demonstrate the characteristics of PICGs by casting some well-kn…

  • Analysis of Kinship Relations With Pajek

    Open Access•Vladimir Batagelj, Andrej Mrvar•ARTICLE•Social Science Computer Review•2007•Cited by: 3•References: 3

    In the article, two general approaches to analysis of large sparse networks are presented: fragment searching and matrix multiplication. These two approaches are applied to analysis of large genealogies. Genealogies can be represented as graphs in different ways: as Ore graphs, p-graphs, or bipartite p-graphs. We show that p-graphs are more suitable for searching for relinking patterns, whereas Ore graphs are better for computing kinship relation…

  • Computers/Ordinateurs/Internet

    Open Access•Vladimir Batagelj•ARTICLE•Bulletin of Sociological…•2007

  • Exploratory Social Network Analysis with Pajek

    Open Access•W De Nooy, Andrej Mrvar et al.•BOOK•Exploratory Social Network…•2005

    This was the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). Step by step, the book introduces the main structural concepts and their applications in social research with exercises to test the understanding. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section. Pajek software and data…

  • Generalized Blockmodeling

    Open Access•P Doreian, Vladimir Batagelj et al.•BOOK•Generalized Blockmodeling•2004

    This book provides an integrated treatment of blockmodeling, the most frequently used technique in social network analysis. It secures its mathematical foundations and then generalizes blockmodeling for the analysis of many types of network structures. Examples are used throughout the text and include small group structures, little league baseball teams, intra-organizational networks, inter-organizational networks, baboon grooming networks, marri…

Next
  • Partitioning networks based on generalized concepts of equivalence

    P Doreian, Vladimir Batagelj et al.•ARTICLE•Journal of Mathematical Sociology•1994•Cited by: 12•References: 8

    The idea of partitioning a network in terms of a specific conceptualization of equivalence has taken a powerful hold on the imagination of network analysts. Frequently, an empirically established blockmodel is assessed in terms of its consistency with a particular visualization of a network. We demonstrate that, while a visual representation of a network can be helpful, this also constrains powerfully our image of the structure of that network. T…

  • Notes on blockmodeling

    Open Access•Vladimir Batagelj•ARTICLE•Social Networks•1997•Cited by: 8•References: 6

  • Anthropology

    Open Access•Douglas R White, Vladimir Batagelj et al.•ARTICLE•Social Science Computer Review•1999•Cited by: 5•References: 13

    Five key problems of kinship networks are boundedness, cohesion, size and cohesive relinking, types of relations and relinking, and groups or roles. Approaches to solving these problems include formats available for electronic storage of genealogical data and representations of genealogies using graphs. P-graphs represent couples and uncoupled children as vertices, whereas parent-child links are the arcs connecting nodes both within and between d…

  • Semirings for social networks analysis

    Vladimir Batagelj•ARTICLE•Journal of Mathematical Sociology•1994•Cited by: 4•References: 9

    In the paper four semirings for solving social networks problems are constructed. The closure of relational matrix over geodetic semirings contains for every pair of vertices u and v the length and the number of u ‐ v geodesics; and for geosetic semiring the length and the set of vertices on u — v geodesics. The algorithms for computing the geodetic and the geosetic closure matrix are also given. The closures of the matrix of a given signed graph…

  • Analysis of the Southern women network using fractional approach

    Open Access•Vladimir Batagelj•ARTICLE•Social Networks•2022•Cited by: 3•References: 14

  • Analysis of Kinship Relations With Pajek

    Open Access•Vladimir Batagelj, Andrej Mrvar•ARTICLE•Social Science Computer Review•2007•Cited by: 3•References: 3

    In the article, two general approaches to analysis of large sparse networks are presented: fragment searching and matrix multiplication. These two approaches are applied to analysis of large genealogies. Genealogies can be represented as graphs in different ways: as Ore graphs, p-graphs, or bipartite p-graphs. We show that p-graphs are more suitable for searching for relinking patterns, whereas Ore graphs are better for computing kinship relation…

  • A weighted clustering of population pyramids for the world's countries, 1996, 2001, 2006

    Simona Korenjak-Černe, Simona Korenjak‐Černe et al.•ARTICLE•Population Studies•2015•Cited by: 1•References: 14

    This paper presents clusters of the world's countries obtained by a novel weighted clustering method. The approach is based on data representations with symbolic descriptions of age-sex structures. To obtain clusters with similar descriptions, a weighted clustering method is used which is suitable for data described with discrete distributions. In contrast to the classical approach, this method allows the population of each sex to be included in …

  • Probabilistic Inductive Classes of Graphs

    Nataša Kejžar, ZORAN NIKOLOSKI et al.•ARTICLE•Journal of Mathematical Sociology•2008•Cited by: 1•References: 1

    A unifying framework—probabilistic inductive classes of graphs (PICGs)—is defined by imposing a probability space on the rules and their left elements from the standard notion of inductive class of graphs. The rules can model the processes creating real-world social networks, such as spread of knowledge, dynamics of acquaintanceships or sexual contacts, and emergence of clusters. We demonstrate the characteristics of PICGs by casting some well-kn…

  • An optimizational approach to regular equivalence

    Open Access•Vladimir Batagelj, P Doreian et al.•ARTICLE•Social Networks•1992

  • Direct and indirect methods for structural equivalence

    Open Access•Vladimir Batagelj, A Ferligoj et al.•ARTICLE•Social Networks•1992

  • Semirings for social networks analysis

    Vladimir Batagelj•ARTICLE•Journal of Mathematical Sociology•1994•Cited by: 4•References: 9

    In the paper four semirings for solving social networks problems are constructed. The closure of relational matrix over geodetic semirings contains for every pair of vertices u and v the length and the number of u ‐ v geodesics; and for geosetic semiring the length and the set of vertices on u — v geodesics. The algorithms for computing the geodetic and the geosetic closure matrix are also given. The closures of the matrix of a given signed graph…

  • Partitioning networks based on generalized concepts of equivalence

    P Doreian, Vladimir Batagelj et al.•ARTICLE•Journal of Mathematical Sociology•1994•Cited by: 12•References: 8

    The idea of partitioning a network in terms of a specific conceptualization of equivalence has taken a powerful hold on the imagination of network analysts. Frequently, an empirically established blockmodel is assessed in terms of its consistency with a particular visualization of a network. We demonstrate that, while a visual representation of a network can be helpful, this also constrains powerfully our image of the structure of that network. T…

  • Notes on blockmodeling

    Open Access•Vladimir Batagelj•ARTICLE•Social Networks•1997•Cited by: 8•References: 6

  • Anthropology

    Open Access•Douglas R White, Vladimir Batagelj et al.•ARTICLE•Social Science Computer Review•1999•Cited by: 5•References: 13

    Five key problems of kinship networks are boundedness, cohesion, size and cohesive relinking, types of relations and relinking, and groups or roles. Approaches to solving these problems include formats available for electronic storage of genealogical data and representations of genealogies using graphs. P-graphs represent couples and uncoupled children as vertices, whereas parent-child links are the arcs connecting nodes both within and between d…

  • Some analyses of Erdős collaboration graph

    Open Access•Vladimir Batagelj, Andrej Mrvar•ARTICLE•Social Networks•2000

  • A subquadratic triad census algorithm for large sparse networks with small maximum degree

    Open Access•Vladimir Batagelj, Andrej Mrvar•ARTICLE•Social Networks•2001

  • Generalized Blockmodeling

    Open Access•P Doreian, Vladimir Batagelj et al.•BOOK•Generalized Blockmodeling•2004

    This book provides an integrated treatment of blockmodeling, the most frequently used technique in social network analysis. It secures its mathematical foundations and then generalizes blockmodeling for the analysis of many types of network structures. Examples are used throughout the text and include small group structures, little league baseball teams, intra-organizational networks, inter-organizational networks, baboon grooming networks, marri…

  • Generalized Blockmodeling (Structural Analysis in the Social Sciences)

    Vladimir Batagelj, Patrick Doreian et al.•BOOK•Generalized Blockmodeling•2004

  • Generalized blockmodeling of two-mode network data

    Open Access•P Doreian, Vladimir Batagelj et al.•ARTICLE•Social Networks•2004

  • Exploratory Social Network Analysis with Pajek

    Open Access•W De Nooy, Andrej Mrvar et al.•BOOK•Exploratory Social Network…•2005

    This was the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). Step by step, the book introduces the main structural concepts and their applications in social research with exercises to test the understanding. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section. Pajek software and data…

  • Analysis of Kinship Relations With Pajek

    Open Access•Vladimir Batagelj, Andrej Mrvar•ARTICLE•Social Science Computer Review•2007•Cited by: 3•References: 3

    In the article, two general approaches to analysis of large sparse networks are presented: fragment searching and matrix multiplication. These two approaches are applied to analysis of large genealogies. Genealogies can be represented as graphs in different ways: as Ore graphs, p-graphs, or bipartite p-graphs. We show that p-graphs are more suitable for searching for relinking patterns, whereas Ore graphs are better for computing kinship relation…

  • Computers/Ordinateurs/Internet

    Open Access•Vladimir Batagelj•ARTICLE•Bulletin of Sociological…•2007

  • Probabilistic Inductive Classes of Graphs

    Nataša Kejžar, ZORAN NIKOLOSKI et al.•ARTICLE•Journal of Mathematical Sociology•2008•Cited by: 1•References: 1

    A unifying framework—probabilistic inductive classes of graphs (PICGs)—is defined by imposing a probability space on the rules and their left elements from the standard notion of inductive class of graphs. The rules can model the processes creating real-world social networks, such as spread of knowledge, dynamics of acquaintanceships or sexual contacts, and emergence of clusters. We demonstrate the characteristics of PICGs by casting some well-kn…

  • Exploratory Social Network Analysis with Pajek

    Open Access•W De Nooy, Andrej Mrvar et al.•BOOK•Exploratory Social Network…•2011

    An extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software and data sets are available so readers can learn network analysis through application and case studies. Readers will have the knowledge, skill and tools to apply…

  • Models and Methods in Social Network Analysis

    P V Marsden, Ove Frank et al.•BOOK•Models and Methods in Social…•2012

  • Pajek

    Open Access•Vladimir Batagelj, Andrej Mrvar•CHAPTER•Encyclopedia of Social Network…•2014

  • Semirings and Matrix Analysis of Networks

    Open Access•Monika Cerinšek, Vladimir Batagelj•CHAPTER•Encyclopedia of Social Network…•2014

  • Sources of Network Data

    Open Access•Monika Cerinšek, Vladimir Batagelj•CHAPTER•Encyclopedia of Social Network…•2014

  • Generalized two-mode cores

    Open Access•Monika Cerinšek, Vladimir Batagelj•ARTICLE•Social Networks•2015

  • A weighted clustering of population pyramids for the world's countries, 1996, 2001, 2006

    Simona Korenjak-Černe, Simona Korenjak‐Černe et al.•ARTICLE•Population Studies•2015•Cited by: 1•References: 14

    This paper presents clusters of the world's countries obtained by a novel weighted clustering method. The approach is based on data representations with symbolic descriptions of age-sex structures. To obtain clusters with similar descriptions, a weighted clustering method is used which is suitable for data described with discrete distributions. In contrast to the classical approach, this method allows the population of each sex to be included in …

  • An algebraic approach to temporal network analysis based on temporal quantities

    Open Access•Vladimir Batagelj, Selena Praprotnik•ARTICLE•Social Network Analysis and Mining•2016

  • Towards a systematic description of the field using keywords analysis

    Open Access•Daria Maltseva, Vladimir Batagelj•ARTICLE•Scientometrics•2020

  • IMetrics

    Open Access•Daria Maltseva, Vladimir Batagelj•ARTICLE•Scientometrics•2020

Computer Science (29 works) · Complex Network Analysis Techniques (24 works) · Mathematics (17 works) · Network analysis (12 works) · Data science (11 works) · Social network analysis (10 works) · World Wide Web (10 works) · Data mining (8 works) · Combinatorics (7 works) · Sociology (7 works)

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