EconPapers    
Economics at your fingertips  
 

Theories in communication science: a structural analysis using webometrics and social network approach

Gohar Feroz Khan (), Sungjoon Lee (), Ji Young Park () and Han Woo Park ()
Additional contact information
Gohar Feroz Khan: Keimyung University
Sungjoon Lee: Cheongju University
Ji Young Park: YeungNam University
Han Woo Park: YeungNam University

Scientometrics, 2016, vol. 108, issue 2, No 4, 557 pages

Abstract: Abstract This exploratory study analyzes the networked structure of theories in social sciences represented by co-occurrences on the World Wide Web. For this, co-occurrences of communication science theories were retrieved from the Web and analyzed using social network analysis tools. Several networks and node-level properties were measured to examine the relationships of theories in terms of co-occurrences. Communication science theories were grouped into four clusters. The results shed some important light on structural dynamics of communication science theories on the academic and social Web.

Keywords: Social science; Theories; Communication science; Structural dynamics; Web; Webometrics; Social network analysis (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-015-1822-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:108:y:2016:i:2:d:10.1007_s11192-015-1822-0

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-015-1822-0

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:108:y:2016:i:2:d:10.1007_s11192-015-1822-0