A Bibliometric Analysis of Computational Social Science in Turkish Academia

Tuba Bircan; Almila Akdaǧ Salah; Haodong Qi

doi:10.1109/SIU59756.2023.10223998

A Bibliometric Analysis of Computational Social Science in Turkish Academia

Tuba Bircan, Almila Akdaǧ Salah, Haodong Qi

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Abstract

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.

Original language	English
Title of host publication	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9798350343557
DOIs	https://doi.org/10.1109/SIU59756.2023.10223998
Publication status	Published - Jul 2023
Event	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 - Istanbul, Turkey Duration: 5 Jul 2023 → 8 Jul 2023

Publication series

Name	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

Conference

Conference	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Country/Territory	Turkey
City	Istanbul
Period	5/07/23 → 8/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

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https://ieeexplore.ieee.org/document/10223998

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Bircan, T., Salah, A. A., & Qi, H. (2023). A Bibliometric Analysis of Computational Social Science in Turkish Academia. In 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 (pp. 1-4). (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU59756.2023.10223998

Bircan, Tuba ; Salah, Almila Akdaǧ ; Qi, Haodong. / A Bibliometric Analysis of Computational Social Science in Turkish Academia. 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1-4 (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023).

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title = "A Bibliometric Analysis of Computational Social Science in Turkish Academia",

abstract = "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.",

keywords = "bibliometrics, citation networks, social computing",

author = "Tuba Bircan and Salah, {Almila Akdaǧ} and Haodong Qi",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 ; Conference date: 05-07-2023 Through 08-07-2023",

year = "2023",

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doi = "10.1109/SIU59756.2023.10223998",

language = "English",

series = "31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Bircan, T, Salah, AA & Qi, H 2023, A Bibliometric Analysis of Computational Social Science in Turkish Academia. in 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, Istanbul, Turkey, 5/07/23. https://doi.org/10.1109/SIU59756.2023.10223998

A Bibliometric Analysis of Computational Social Science in Turkish Academia. / Bircan, Tuba; Salah, Almila Akdaǧ; Qi, Haodong.
31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1-4 (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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N2 - 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.

AB - 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.

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DO - 10.1109/SIU59756.2023.10223998

M3 - Conference paper

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T3 - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

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BT - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Bircan T, Salah AA, Qi H. A Bibliometric Analysis of Computational Social Science in Turkish Academia. In 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1-4. (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023). doi: 10.1109/SIU59756.2023.10223998

A Bibliometric Analysis of Computational Social Science in Turkish Academia

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