Centre for Methodology and Informatics

  • Centre for Methodology and Informatics

Workshop on the use of the "blockmodeling" package

Dr. Aleš Žiberna and dr. Marjan Cugmas are organizing a workshop on the use of the blockmodeling" package for the R programming language, which is intended for generalized block modeling of networks.

20. May 2021 | News

Global structures and local network mechanisms of knowledge-flow networks

Recently, dr. Marjan Cugmas, dr. Aleš Žiberna, dr. Anuška Ferligoj (Centre for Methodology and Informatics) and dr. Miha Škerlavaj (School of economics and business) published a paper in PLOS ONE.

1. February 2021 | News

Can we improve social support for the elderly during COVID-19?

Within COSTNET, the researchers from the Centre for Methodology and Informatics (FDV) prepared a video presentation about the research on the social support of the elderly (Internet users) during the coronavirus pandemic.

3. December 2020 | News

Prof. Dr. Anuška Ferligoj awarded with the title Professor Emeritus of University of Ljubljana

Each year during University of Ljubljana Week in December University of Ljubljana pays respect to its best research achievements, presents honorary titles, plaques, awards, and recognitions to those who contribute to make the University of Ljubljana even better. The title of Professor Emeritus is awarded to retired Professors of the University of Ljubljana for their significant contributions to the operation, reputation, and development of the University of Ljubljana. This year the title Professor Emeritus was awarded also to Prof. Dr. Anuška Ferligoj, associate member of Centre for Methodology and Informatics at Faculty of Social Sciences.

3. December 2020 | News

About the centre

Centre for Methodology and Informatics (CMI) was establsihed in 1992 and integrates research fields of social science methodology and social informatics. The main research topics CMI investigates are:

  • Methods for network analysis,
  • Measuring social networks,
  • Developing the methods of blockmodeling,
  • Mathematical models in social sciences,
  • Measuring information society phenomena,
  • Online community research,
  • Developing the methods for Internet social technology research,
  • Developing and using online qualitative methods and
  • Research of children on the Internet.

CMI is internationally renowned for its scientific achievements in the field of developing methods and tools for network analysis. CMI intensively collaborates with numerus national and international institutions and actively applies and collaborates on international projects.

E-mail: cmi@fdv.uni-lj.si

TAP J5-3101 Mentorski odnos v kontekstu znanstvenega sodelovanja in produkcija znanja

doc.dr. Luka Kronegger | 1. October 2021 - 30. September 2024

Mlada raziskovalka Kristina Rakinić

Kristina Rakinić | 1. October 2021 - 30. September 2025

Priložnosti in nevarnosti spletnih zdravstvenih skupnosti za zdravstvo

Head: prof.dr. Gregor Petrič | Period: 1. July 2018 - 30. June 2021

Mlada raziskovalka Špela Orehek

Špela Orehek | 1. October 2017 - 30. September 2021

Bločno modeliranje večnivojskih in časovnih omrežij

Head: izr.prof.dr. Aleš Žiberna | Period: 1. May 2017 - 30. April 2020

EU/H2020: STOP - Science and Technology in childhood Obesity Policy

doc.dr. Luka Kronegger | 1. June 2018 - 31. May 2022

EU/COST-CA15109: COSTNET - European Cooperation for Statistics of Network Data Science

zasl.prof.dr. Anuška Ferligoj | 1. March 2016 - 31. March 2020

EU/COST- IC1410: DigiLitEY - The digital literacy and multimodal practices of young children

izr.prof.dr. Bojana Lobe | 1. April 2015 - 30. April 2019

EU/COST-IC1408: CRoNoS - Computationally-intensive methods for the robust analysis of non-standard data

zasl.prof.dr. Anuška Ferligoj | 1. March 2015 - 31. March 2019

EU/COST-TD1306: PEERE -New Frontiers of Peer Review

zasl.prof.dr. Anuška Ferligoj | 1. May 2014 - 31. May 2018

EU/TEMPUS: MAS - Master Programme in Applied Statistics

zasl.prof.dr. Anuška Ferligoj | 1. October 2010 - 31. October 2013

Recent publications

LOBE, Bojana , MORGAN, David L. 2021. Assessing the effectiveness of video-based interviewing: A systematic comparison of video-conferencing based dyadic interviews and focus groups. International journal of social research methodology, vol. 24, no. 3, str. 301-312. Doi: 10.1080/13645579.2020.1785763. [COBISS.SI-ID 21078275]


CUGMAS, Marjan, FERLIGOJ, Anuška, ŠKERLAVAJ, Miha, ŽIBERNA, Aleš. 2021. Global structures and local network mechanisms of knowledge-flow networks. PloS one, vol. 16, iss. 2, 23 str. Doi: 10.1371/journal.pone.0246660. [COBISS.SI-ID 52090371]


ERČULJ, Vanja, ŽIBERNA, Aleš. 2021. The role of online social support in patients undergoing infertility treatment - A comparison of pregnant and non-pregnant members. Health communication, 7 str. Doi: 10.1080/10410236.2021.1915517. [COBISS.SI-ID 59948547]


DOREIAN, Patrick (ur.), BATAGELJ, Vladimir (ur.), FERLIGOJ, Anuška (ur.). Advances in network clustering and blockmodeling, (Wiley series in computational and quantitative social science). Hoboken (NJ); Chichester: J. Wiley & Sons. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119483298


BERNIK, Ivan, KOGOVŠEK, Tina, KUHAR, Roman, ŠVAB, Alenka. 2018. Intimni življenjski stili študentov in študentk v Sloveniji, (Knjižna zbirka Ost, 16). Ljubljana: Fakulteta za družbene vede, Založba FDV. [COBISS.SI-ID 294473472]


Sicris bibliography (until May 5, 2021) >>

Exploratory Social Network Analysis with Pajek (3rd Edition)

Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software by Wouter de Nooy (Universiteit van Amsterdam), Andrej Mrvar (University of Ljubljana) and Vladimir Batagelj (University of Ljubljana) is one of the most prominent works dealing with the understanding of social network analysis.

9. October 2016 | Highlighted publications

Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution

Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution was published in a series of books on Computational and Quantitative Social Science with Wiley.

11. March 2016 | Highlighted publications

Pajek – software for analysis and visualisation of large networks

Developed in 1996 by Vladimir Batagelj and Andrej Mrvar, Pajek has become an internationally renowned and awarded software enabling analysis and visualisation of large networks.

11. March 2016 | Highlighted publications