The scientific monograph was published in 2020 in the renowned international publishing house Wiley. It comprehensively addresses the different approaches to clustering in networks that have been developed over the last fifteen years in various scientific disciplines (social sciences, mathematics, computer science, physics, etc.). The presented methods are intended to analyse various networks (one-mode and two-mode networks, signed networks, connected networks and others). In addition to wide theoretical coverage, the book also presents examples of using the presented methods and guidelines for researchers engaged in applied research. In addition to Batagelj and Ferligoj, several other members of the project group contributed chapters to this monograph (Cugmas, Kronegger and Žiberna). Number of citations: Web of Science - 42; Google Scholar - 27.
C.01 Editorial board of a foreign/international collection of papers/book
COBISS.SI-ID: 1538492867The package »blockmodeling« was originally meant as an implementation of Generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted. It is still the only software that supports generalized blockmodeling of valued networks. Recently, the support for generalized blockmodeling of linked (e.g. multilevel) networks was added. As part of the project other improvements to the package were made and a scientific paper describing the package's use was published.
F.24 Improvements to existing system-wide, normative and programme solutions, and methods
COBISS.SI-ID: 53164547The members of the research project are co-organizers of the Slovenian conference on network analysis NetSlo, which each year brings together 50-100 active researchers from various fields of network science (2015-2020 live). The conference is organized at one of the faculties of the University of Ljubljana or at the Jožef Stefan Institute and includes invited lectures by guests and senior researchers, a panel discussion, presentations by junior researchers and doctoral students, and posters by undergraduate and master students. The conference serves as a unique opportunity in Slovenia for networking and collaboration between network researchers from all fields of science and industry. Result of the collaboration between conference participants is the latest book on network clustering (Wiley, 2020), where many chapters were written by the members project group. In the spirit of open science, the conference is free for all participants (including the conference dinner) and communicated to the public (Delo, 2017, 2019).
B.01 Organiser of a scientific meeting
COBISS.SI-ID: 33116199The computer program Pajek has been developed since 1996. It is one of the most used network analysis packages and the leading program for the analysis of huge networks (networks with up to 10 billion vertices; there is no limit on the number of lines). The program is used everywhere where complex networks appear (social networks, transportation networks, collaboration networks, citation networks, protein–protein interaction networks…). Pajek has more than 10,000 citations in »Google Scholar«. It can be downloaded and used for free for non-commercial use at: http://mrvar.fdv.uni-lj.si/pajek/ Pajek is now used by several universities (e.g. University of Oxford, University of California at Irvine, San Diego, Amsterdam...) and companies (e.g. Deutsche Bundesbank, Volkswagen AG, SPSS Korea, Bank of England, Cisco, Basel Bank for International Settlements, Kansas City Missouri Police Department, Indianapolis Police Department...). Two special versions of Pajek for the analysis of huge networks were released in the last 10 years: PajekXXL which enables analysis of networks with the number of vertices of up to 2 billion, and Pajek3XL where the limit is set to 10 billion. Such wide use of the program made the need for a monograph describing ‘How to do network analysis with Pajek?’ inevitable. The book: Wouter de Nooy, Andrej Mrvar, and Vladimir Batagelj: Exploratory Social Network Analysis with Pajek has been published in three editions by Cambridge University Press, and translated into Japanese and Chinese. Andrej Mrvar and Vladimir Batagelj were awarded the "William D. Richards, Jr. Software Award" in 2013. It is a "lifetime achievement award" to honour individuals who have created publicly available social network analysis software without which it would be impossible to study social networks (https://www.insna.org/richards-awards).
F.23 Development of new system-wide, normative and programme solutions, and methods
COBISS.SI-ID: 2048531987Package kmBlock (and kmBlockTest) is the implementation of K-means like blockmodeling of one-mode and linked networks. To achieve faster execution, most of the is implemented in C++ programming language. Implemented methods are described in : ŽIBERNA, A.. K-means-based algorithm for blockmodeling linked networks. Social Networks. [2020, vol. 61, str. 153-169. DOI: 10.1016/j.socnet.2019.10.006. [COBISS.SI-ID 36567901], [JCR, SNIP, WoS till 21. 4. 2021: # citations (TC): 5, pure citations (CI): 4, Scopus till 1. 3. 2021: # citations (TC): 6, pure citations (CI): 5]
F.23 Development of new system-wide, normative and programme solutions, and methods
COBISS.SI-ID: 61863683