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Centre for Methodology and Informatics

  • Centre for Methodology and Informatics

Center for Methodology and Informatics in Media

In December, an article titled Digital Revolution and Social Responsibility was published in the magazine Delo, addressing 40 years of social informatics studies in our country. In January, another article titled Artificial Intelligence Has Become an Inevitable Part of the Educational System was published in Mladina, summarizing the findings of a study on AI use among students, conducted at CMI.

3. February 2025 | News

Members of the Centre for Methodology and Informatics Actively Participated in the ECREA Conference

Members of the Centre for Methodology and Informatics (assist. prof. Sara Atanasova, PhD, prof. Grega Petrič, PhD, assist. Špela Orehek, PhD, and assist. Kristina Rakinić) attended the 10th European Communication Conference (ECREA), which this year took place at the Faculty of Social Sciences. At the conference, they successfully presented several important research contributions.

2. October 2024 | News

CMI hosts Dr. Howard T. Welser and Dr. Laura W. Black from University of Ohio, USA

From March 26 to April 13, 2024, CMI will host Professors Dr. Howard T. Welser and Dr. Laura W. Black from Ohio University, USA. During their stay, Ted and Laura will give guest lectures in the ICT and Society course, which is part of the Social Informatics master program. The lectures will take place on Tuesday, April 9, 2024, in lecture room 20.

4. April 2024 | News

Challenges on the Path to a Doctorate - Interview with assoc. prof. dr. Luka Kronegger in the newspaper Delo

Assoc. prof. dr. Luka Kronegger presents some key findings from a three-year research project titled "Mentorship Relationship in the Context of Scientific Collaboration and Knowledge Production" in the article. One of the project's goals is also the development and formulation of recommendations for establishing and maintaining quality collaboration between doctoral students and mentors.

3. April 2024 | 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

Premostitev digitalnega razkoraka - okvir kompetenc za kibernetsko varnost za starejše osebe

prof.dr. Gregor Petrič | 1. January 2025 - 31. December 2027

Mentoring relationships in the processes of scientific collaboration and knowledge production

Project leader at FDV: doc.dr. Luka Kronegger | Duration: 1. October 2021 - 30. September 2024

Mlada raziskovalka Kristina Rakinić

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

Opportunities and dangers of online health communities for healthcare

Project leader at FDV: prof.dr. Gregor Petrič | Duration: 1. July 2018 - 30. June 2021

EU Coordination and Support Action (CSA) "Children Online: Research and Evidence (CO:RE), funded by the European Commision under Grant Agreement

izr.prof.dr. Bojana Lobe | 1. February 2021 - 31. December 2021

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

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

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

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

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

Recent publications

Družboslovna informatika : 40 let poučevanja in proučevanja digitalizacije v družbi, razvijanja metod in analize podatkov (2024). Digital edition:40letDI


ŠKULJ, Damjan. 2023 A complete characterization of normal cones and extreme points for p-boxes. Fuzzy sets and systems : international journal of soft computing and intelligence, vol. 466, 22 str., DOI: 10.1016/j.fss.2022.12.006. [COBISS.SI-ID 135114755]


CUGMAS, MarjanŽIBERNA, Aleš. 2023 Approaches to blockmodeling dynamic networks : a Monte Carlo simulation study. Social Networks. 2023, vol. 73, str. 7-19, DOI: 10.1016/j.socnet.2022.12.003. [COBISS.SI-ID 134684931]


PETRIČ, GregorCUGMAS, Marjan, PETRIČ, Rok, ATANASOVA, Sara.  2023 The quality of informational social support in online health communities : a content analysis of cancer-related discussions. Digital health, vol. 9, str. 1-18, DOI: 10.1177/20552076231155681. [COBISS.SI-ID 142897667]

 

Research group bibliography

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