Co-inlinking to a municipal Web space: a webometric and content analysis
Kim Holmberg ()
Additional contact information
Kim Holmberg: Åbo Akademi University
Scientometrics, 2010, vol. 83, issue 3, No 19, 862 pages
Abstract:
Abstract It is known that there are significant correlations between linking and geographical patterns. Although interlinking patterns have been studied in various contexts, co-inlinking patterns on the Web have only been studied as indicator of business competitive positions. This research studies the use of co-inlinks to local government Web sites, assesses whether co-inlinking follows geographic patterns and investigates reasons for creating the co-inlinks. Strong evidence was found that co-inlinking is more frequent to municipalities in the same functional region than to municipalities in different functional regions, indicating that this geographic aspect influences co-inlinking, even though geographic co-inlinking was not a strong trend overall. Because the functional regions are created based on cooperation between the municipalities, we have indirectly been able to map cooperation from co-inlinking patterns on the Web. The main reason to create co-inlinking links to municipalities was that the source of the links wanted to show a connection to its region.
Keywords: Webometrics; Hyperlinks; Co-inlinking; Colinks; Link creation; Local government; Geography (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-009-0148-1 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:83:y:2010:i:3:d:10.1007_s11192-009-0148-1
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-009-0148-1
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 ().