Siete vo vzdelávaní : Možnosti využitia analýzy sociálnych sietí v pedagogickom výskume

Varování

Publikace nespadá pod Fakultu sportovních studií, ale pod Filozofickou fakultu. Oficiální stránka publikace je na webu muni.cz.
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LINTNER Tomáš

Rok publikování 2020
Druh Článek v odborném periodiku
Časopis / Zdroj Studia paedagogica
Fakulta / Pracoviště MU

Filozofická fakulta

Citace
www https://www.phil.muni.cz/journals/index.php/studia-paedagogica/article/view/2201/2134
Doi http://dx.doi.org/10.5817/SP2020-3-6
Klíčová slova social network analysis; SNA; complex networks; methodology in educational research; social network models; ERGM
Popis With its wide range of applications, social network analysis has found its place in a number of scientific fields. In educational research, social network analysis has a potential to uncover and investigate yet unknown configurations of relations between actors in education. This paper provides an introduction to the problematics, techniques, and applications of social network analysis in educational research. It first introduces reader to basic terminology and concepts in social network analysis. On an example of a small network, it demonstrates basic network calculations at both the levels of the individual actors and the network as a whole. Furthermore, the paper provides a brief overview of studies in the field of educational research, which have employed social network analysis. On an example of a fictional classroom and five research questions, the main part of the paper demonstrates application of social network analysis in educational research ranging from cross-sectional descriptive analysis to dynamic inferential analysis. Step by step, it introduces a range of methods followed by interpretation of their results. Apart from centrality, clustering, and connectedness measures, the example contains permutation tests used for significance testing with network data, ERGM (exponential random graph models), and STERGM (separable temporal exponential graph models). Finally, the paper discusses challenges related to application of social network analysis.
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