A Bibliometric Analysis of Computational Social Science in Turkish Academia
2023 (English)In: 2023 31st Signal Processing and Communications Applications Conference (SIU), IEEE conference proceedings, 2023, , p. 1-4p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]
Using bibliometrics, this study explores the land-scape of social computing sciences within the Turkish academic sphere. The analysis conducted at both the country and organizational levels reveals that collaborations in the field of social computing are not solely influenced by geographical factors. Through network analysis of keyword co-occurrences, distinct thematic patterns emerge, highlighting areas such as health-related applications, the social implications of computational approaches, the intersection of computational methods with the economy and agriculture, machine learning techniques, and the utilization of big data analytics for business applications. These findings provide evidence of the multidisciplinary nature inherent in social computing research.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2023. , p. 1-4p. 1-4
Series
Signal Processing and Communications Applications Conference, ISSN 2165-0608
Keywords [en]
Social computing, Bibliometrics, Social sciences, Collaboration, Network analyzers, Machine learning, Signal processing
National Category
Social Sciences Interdisciplinary Information Systems Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:mau:diva-62184DOI: 10.1109/SIU59756.2023.10223998ISI: 001062571000212ISBN: 979-8-3503-4355-7 (electronic)OAI: oai:DiVA.org:mau-62184DiVA, id: diva2:1792584
Conference
2023 31st Signal Processing and Communications Applications Conference (SIU) 05-08 July 2023 Istanbul, Turkiye
2023-08-292023-08-292023-10-09Bibliographically approved