Loading...
Projects / Programmes source: ARIS

Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks

Research activity

Code Science Field Subfield
5.03.00  Social sciences  Sociology   

Code Science Field
5.04  Social Sciences  Sociology 
Keywords
network analysis, dynamic networks, blockmodeling, generalised blockmodeling, stochastic blockmodeling, random networks, algorithms for generating networks, network evolution models, co-authorship networks, scientific collaboration
Evaluation (rules)
source: COBISS
Points
7,677.2
A''
2,037.77
A'
4,293.33
A1/2
5,070.48
CI10
3,332
CImax
211
h10
29
A1
28.12
A3
0.35
Data for the last 5 years (citations for the last 10 years) on May 20, 2024; A3 for period 2018-2022
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  193  3,250  2,950  15.28 
Scopus  248  4,583  4,110  16.57 
Researchers (12)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  01467  PhD Vladimir Batagelj  Mathematics  Researcher  2020 - 2024  977 
2.  37184  PhD Marjan Cugmas  Sociology  Researcher  2020 - 2024  142 
3.  53560  PhD Klemen Kocjančič  Political science  Researcher  2021  152 
4.  29896  MSc Anja Kolak  Political science  Technical associate  2020 - 2022  25 
5.  28074  PhD Luka Kronegger  Sociology  Researcher  2020 - 2024  140 
6.  02943  PhD Franc Mali  Sociology  Researcher  2020 - 2024  463 
7.  13767  PhD Andrej Mrvar  Sociology  Researcher  2020 - 2024  285 
8.  50571  PhD Špela Orehek  Sociology  Junior researcher  2020 - 2021  32 
9.  19505  PhD Damjan Škulj  Sociology  Researcher  2020 - 2024  157 
10.  56526  Fabio Ashtar Telarico  Sociology  Researcher  2022 - 2024  21 
11.  27576  PhD Aleš Žiberna  Sociology  Head  2020 - 2024  176 
12.  29915  PhD Anja Žnidaršič  Administrative and organisational sciences  Researcher  2021  288 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0582  University of Ljubljana, Faculty of Social Sciences  Ljubljana  1626957  40,577 
2.  0101  Institute of Mathematics, Physics and Mechanics  Ljubljana  5055598000  20,256 
Abstract
BACKGROUND: Network analysis has become the main approach to analysing social interactions. A network is defined by the set of nodes (or vertices, units, actors) and by the set of links which represent ties between the nodes. Recently, much attention has been devoted to the analysis of dynamic networks. We use the term “dynamic networks” to describe a set of networks with the same set of nodes (incomers and outgoers are allowed), observed at/in different consecutive time points/periods. Blockmodeling is an approach for partitioning the nodes of a network (according to the structure of their links) and determining the ties among the clusters then obtained and thus may be used to describe the global structure of a studied network. Blockmodeling is widely used in the operationalization of social role and for data reduction. Since most approaches to blockmodeling dynamic networks were developed only in the last decade, researchers usually blockmodel networks from different time points separately. However, this approach is inadequate because it assumes that the networks from the different points in time are independent. The dependency between links from different points in time can be taken into account by the approaches to the blockmodeling of dynamic networks. Such analysis allows for more accurate results, smoother changes in time and hence improves the study of these changes. PROBLEM DEFINITION: Blockmodeling approaches for dynamic networks have not yet been systematically evaluated and compared using Monte Carlo simulations. Their evaluation is needed to help develop guidelines on the selection and use of blockmodeling approaches. To perform such simulations, one needs to generate random dynamic networks based on local mechanisms with a specified blockmodel type and partition for at each point in time. Currently, none of the existing approaches is able to do this. The approaches to blockmodeling dynamic networks should be very useful for studying scientific collaboration as operationalized by co-authorship (due to ‘noise’, lag in publications, etc.), and should make observing changes over time easier, namely, a very important issue in the social sciences. RESEARCH OBJECTIVES: The project has three main objectives: (i) To evaluate different blockmodeling approaches to dynamic networks that have different characteristics (e.g. density, nodes’ fluctuation, number of nodes at different time points, change of a blockmodel type in time). (ii) To develop algorithms for generating dynamic random networks based on local network mechanisms that allow the specification of the partition and the global structure for each time point. Using local mechanisms is necessary so that the networks then generated are closer to the real-world network dynamics, while known partition and global structure is needed for evaluation of the blockmodeling results. (iii) To apply one or several appropriate blockmodeling approaches to the dynamic co-authorship networks of Slovenian researchers. This should add to the validity of the results by way of more stable partitions and more easily observable changes. EXECUTION: The project will be organized in five work packages (WPs). These are: WP1 – Preparation phase; WP2 – Development of algorithms for generating dynamic random networks; WP3 – Evaluation of blockmodeling algorithms using Monte Carlo simulations; WP4 – Application of appropriate blockmodeling approaches(s) to the dynamic co-authorship networks of Slovenian researchers; WP5 – General project management and dissemination. WP3, WP4 and WP5 are very interdependent. For example, the results of WP5’s earlier stages are needed for WP3, while the main results of WP3 are needed in WP4. Similarly, the results of WP4 are needed by WP5. Therefore, for much of the project, all of the WPs will be running, but at different intensities. The project group consists of researchers who share many common research activities.
Views history
Favourite