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Centre for Methodology and Informatics

  • Centre for Methodology and Informatics

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

Dr Bojana Lobe lectured a course at ECPR winter school on methods and techniques in Bamberg

Last week, from February 17th to February 21st, doc. dr. Bojana Lobe lectured a course on Qualitative online methods and Virtual Ethnography at ECPR winter school on methods and techniques in Bamberg, Germany.

25. February 2020 | News

NetSlo 2020 - Tradicional meeting of network analysis researchers

On January 23, 2020, the traditional meeting of researchers from the field of network analysis took place at the Faculty of Computer and Information Science, University of Ljubljana.

3. February 2020 | News

Guest lectures of professor Benoit Rihoux from University of Louvain, Belgium

During January the 6th and January the 10th, the Department for Social Informatics and Methodology will be hosting professor Benoit Rihoux from University of Louvain, Belgium, as a part of Erasmus plus exchange for professors.

16. December 2019 | 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

National research projects

Primerjava in evalvacija pristopov za bločno modeliranje časovnih omrežij s simulacijami in uporaba na slovenskih so-avtorskih omrežjih

Head: izr.prof.dr. Aleš Žiberna | Period: 1. September 2020 - 31. August 2023

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

Družbeni mehanizmi za vzpostavljanje in ohranjanje znanstvenega sodelovanja

Head: zasl.prof.dr. Anuška Ferligoj | Period: 1. March 2016 - 28. February 2019

Mladi raziskovalec Marjan Cugmas

izr.prof.dr. Aleš Žiberna | 1. November 2015 - 31. October 2019

International research projects

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

doc.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

CUGMAS, Marjan, DELAY, Dawn, ŽIBERNA, Aleš, FERLIGOJ, Anuška. 2020. Symmetric core-cohesive blockmodel in preschool children's interaction networks. PloS one, vol. 15, no. 1, 19 str. [COBISS.SI-ID 36567645]

ŽIBERNA, Aleš. 2020. K-means-based algorithm for blockmodeling linked networks. Social Networks, vol. 61, str. 153-169. [COBISS.SI-ID 36567901]

OMLADIČ, Matjaž, ŠKULJ, Damjan. 2020. Constructing copulas from shock models with imprecise distributions. International journal of approximate reasoning, vol. 118, str. 27-46. [COBISS.SI-ID 36554333]

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 (unitl February 25, 2020) >>

Highlighted publications

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