Subject–method topic network analysis in communication studies

Keeheon Lee, Hyojung Jung, Min Song

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Communication studies depend on information and communication technology (ICT) and the behavior of people using the technology. ICT enables individuals to transfer information quickly via various media. Social changes are occurring rapidly and their studies are growing in number. Thus, a tool to extract knowledge to comprehend the quickly changing dynamics of communication studies is required. We propose a subject–method topic network analysis method that integrates topic modeling analysis and network analysis to understand the state of communication studies. Our analysis focuses on the relationships between topics classified as subjects and methods. From the relationships, we examine the societal and perspective changes relative to emerging media technologies. We apply our method to all papers listed in the Journal Citation Reports Social Science Citation Index as communication studies between 1990 and 2014. The study results allow us to identify popular subjects, methods, and subject–method pairs in proportion and relation.

Original languageEnglish
Pages (from-to)1761-1787
Number of pages27
JournalScientometrics
Volume109
Issue number3
DOIs
Publication statusPublished - 2016 Dec 1

Fingerprint

Electric network analysis
network analysis
communication
Communication
communication technology
information technology
social change
Social sciences
social science

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)
  • Computer Science Applications
  • Library and Information Sciences

Cite this

@article{f08edc1ea8a94051aa45187c9c3c7aa3,
title = "Subject–method topic network analysis in communication studies",
abstract = "Communication studies depend on information and communication technology (ICT) and the behavior of people using the technology. ICT enables individuals to transfer information quickly via various media. Social changes are occurring rapidly and their studies are growing in number. Thus, a tool to extract knowledge to comprehend the quickly changing dynamics of communication studies is required. We propose a subject–method topic network analysis method that integrates topic modeling analysis and network analysis to understand the state of communication studies. Our analysis focuses on the relationships between topics classified as subjects and methods. From the relationships, we examine the societal and perspective changes relative to emerging media technologies. We apply our method to all papers listed in the Journal Citation Reports Social Science Citation Index as communication studies between 1990 and 2014. The study results allow us to identify popular subjects, methods, and subject–method pairs in proportion and relation.",
author = "Keeheon Lee and Hyojung Jung and Min Song",
year = "2016",
month = "12",
day = "1",
doi = "10.1007/s11192-016-2135-7",
language = "English",
volume = "109",
pages = "1761--1787",
journal = "Scientometrics",
issn = "0138-9130",
publisher = "Springer Netherlands",
number = "3",

}

Subject–method topic network analysis in communication studies. / Lee, Keeheon; Jung, Hyojung; Song, Min.

In: Scientometrics, Vol. 109, No. 3, 01.12.2016, p. 1761-1787.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Subject–method topic network analysis in communication studies

AU - Lee, Keeheon

AU - Jung, Hyojung

AU - Song, Min

PY - 2016/12/1

Y1 - 2016/12/1

N2 - Communication studies depend on information and communication technology (ICT) and the behavior of people using the technology. ICT enables individuals to transfer information quickly via various media. Social changes are occurring rapidly and their studies are growing in number. Thus, a tool to extract knowledge to comprehend the quickly changing dynamics of communication studies is required. We propose a subject–method topic network analysis method that integrates topic modeling analysis and network analysis to understand the state of communication studies. Our analysis focuses on the relationships between topics classified as subjects and methods. From the relationships, we examine the societal and perspective changes relative to emerging media technologies. We apply our method to all papers listed in the Journal Citation Reports Social Science Citation Index as communication studies between 1990 and 2014. The study results allow us to identify popular subjects, methods, and subject–method pairs in proportion and relation.

AB - Communication studies depend on information and communication technology (ICT) and the behavior of people using the technology. ICT enables individuals to transfer information quickly via various media. Social changes are occurring rapidly and their studies are growing in number. Thus, a tool to extract knowledge to comprehend the quickly changing dynamics of communication studies is required. We propose a subject–method topic network analysis method that integrates topic modeling analysis and network analysis to understand the state of communication studies. Our analysis focuses on the relationships between topics classified as subjects and methods. From the relationships, we examine the societal and perspective changes relative to emerging media technologies. We apply our method to all papers listed in the Journal Citation Reports Social Science Citation Index as communication studies between 1990 and 2014. The study results allow us to identify popular subjects, methods, and subject–method pairs in proportion and relation.

UR - http://www.scopus.com/inward/record.url?scp=84989177746&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84989177746&partnerID=8YFLogxK

U2 - 10.1007/s11192-016-2135-7

DO - 10.1007/s11192-016-2135-7

M3 - Article

AN - SCOPUS:84989177746

VL - 109

SP - 1761

EP - 1787

JO - Scientometrics

JF - Scientometrics

SN - 0138-9130

IS - 3

ER -