2017
DOI: 10.1007/978-3-319-67256-4_42
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Exploring Emerging Topics in Social Informatics: An Online Real-Time Tool for Keyword Co-Occurrence Analysis

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Cited by 5 publications
(4 citation statements)
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“…This finding implies that from an international perspective, SI research (stream 2), in part, overlaps thematically with HI and related fields. More evidence that SI research appears in the health domain can be found in Cech [ 45 ] and Hoeffner [ 46 ]. For example, Cech [ 45 ] focused on SI research and educational institutions and identified 5 main themes of SI from an international view, and 1 of them was eHealth.…”
Section: Health Informatics and Social Informaticsmentioning
confidence: 99%
See 1 more Smart Citation
“…This finding implies that from an international perspective, SI research (stream 2), in part, overlaps thematically with HI and related fields. More evidence that SI research appears in the health domain can be found in Cech [ 45 ] and Hoeffner [ 46 ]. For example, Cech [ 45 ] focused on SI research and educational institutions and identified 5 main themes of SI from an international view, and 1 of them was eHealth.…”
Section: Health Informatics and Social Informaticsmentioning
confidence: 99%
“…More evidence that SI research appears in the health domain can be found in Cech [ 45 ] and Hoeffner [ 46 ]. For example, Cech [ 45 ] focused on SI research and educational institutions and identified 5 main themes of SI from an international view, and 1 of them was eHealth. We should also add that throughout the review of all scientific publications that explicitly refer to SI [ 2 , 4 , 14 ], an entry that explicitly refers to SI as a subfield of HI was not found.…”
Section: Health Informatics and Social Informaticsmentioning
confidence: 99%
“…Term and keyword co-occurrence refers to the phenomenon where certain terms or keywords appear together frequently in a text corpus, indicating a relationship or association between them (Scott & Tribble, 2006;Hunston, 2007;Santoni & Pourabbas, 2016;Lozano et al, 2019). Term and keyword co-occurrence analysis can be a powerful tool for identifying meaningful patterns in text data and gaining insights into the relationships between different concepts and keywords (Bondi, 2010;Cech, 2017;Radhakrishnan, Erbis, Isaacs & Kamarthi, 2017;Weerasekara et al, 2022). These network visualization tools can be helpful in analyzing the usage and impact of ChatGPT's keywords in academic publications.…”
Section: Introductionmentioning
confidence: 99%
“…Term and keyword co-occurrence analysis can be a powerful tool for identifying meaningful patterns in text data and gaining insights into the relationships between different concepts and keywords (Bondi, 2010;Cech, 2017;Radhakrishnan, Erbis, Isaacs & Kamarthi, 2017;Weerasekara et al, 2022). These network visualization tools can be helpful in analyzing the usage and impact of ChatGPT's keywords in academic publications.…”
mentioning
confidence: 99%