Μελέτη μεθόδων ανάλυσης κοινωνικών δικτύων στο πεδίο της τεχνολογικά υποστηριζόμενης μάθησης
Studying co-authorship networks in the field of technology enhanced learning
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Έρευνα -- Μεθοδολογία ; Μάθηση ; Online social networks ; AuthorshipAbstract
Research collaboration is studied in different research areas, so as to provide useful insights on how researchers combine existing distributed scientific knowledge and transform it into new knowledge. Additionally, research analytics attempt to provide meaningful data for researchers by analyzing the way research and research collaboration takes place. A substantial input for research analytics, is, thereby, the analysis of research collaboration. Within this context, in this thesis, we utilize the co-authorship network of researchers who collaborate in Technology-enhanced Learning (TeL), in order to gain meaningful insights about the research collaboration in this specific field. This is achieved through the case of the Educational Technology & Society (ETS) Journal, where Social Network Analysis (SNA) metrics are applied for analyzing its co-authorship network over a period of 15 years. The results of our analysis provided us with useful insights about the ETS Journal co-authorship network’s identity and evolution. Our main findings provided evidence that the network consists of a main core of prolific authors and of a large number of non-connected subgroups. At the same time, it was found that the majority of the key authors appear to have a Taiwanese national background and that they have established a strongly connected group that collaborates frequently, diversely and widely. Both authors and collaborations of the ETS co-authorship network have been polynomially increasing during the past 15 years and the co-authorship network has probably arrived at its “phase transition”, which means that it is expected to start becoming more connected in the coming years.