IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v79y2009i1d10.1007_s11192-009-0410-6.html
   My bibliography  Save this article

Local government web sites in Finland: A geographic and webometric analysis

Author

Listed:
  • Kim Holmberg

    (Åbo Akademi University)

  • Mike Thelwall

    (University of Wolverhampton)

Abstract

It has been shown that information collected from and about links between web pages and web sites can reflect real world phenomena and relationships between the organizations they represent. Yet, government linking has not been extensively studied from a webometric point of view. The aim of this study was to increase the knowledge of governmental interlinking and to shed some light on the possible real world phenomena it may indicate. We show that interlinking between local government bodies in Finland follows a strong geographic, or rather a geopolitical pattern and that governmental interlinking is mostly motivated by official cooperation that geographic adjacency has made possible.

Suggested Citation

  • Kim Holmberg & Mike Thelwall, 2009. "Local government web sites in Finland: A geographic and webometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 157-169, April.
    • Handle: RePEc:spr:scient:v:79:y:2009:i:1:d:10.1007_s11192-009-0410-6
    DOI: 10.1007/s11192-009-0410-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-009-0410-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-009-0410-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mike Thelwall & David Wilkinson, 2003. "Three target document range metrics for university web sites," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 490-497, April.
    2. Liwen Vaughan & Guozhu Wu, 2004. "Links to commercial websites as a source of business information," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 487-496, August.
    3. Steve Lawrence & C. Lee Giles, 1999. "Accessibility of information on the web," Nature, Nature, vol. 400(6740), pages 107-107, July.
    4. Hak Joon Kim, 2000. "Motivations for hyperlinking in scholarly electronic articles: A qualitative study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(10), pages 887-899.
    5. David Stuart & Mike Thelwall, 2006. "Investigating triple helix relationships using URL citations: a case study of the UK West Midlands automobile industry," Research Evaluation, Oxford University Press, vol. 15(2), pages 97-106, August.
    6. Judit Bar-Ilan, 2004. "A microscopic link analysis of academic institutions within a country — the case of Israel," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 391-403, March.
    7. Liwen Vaughan, 2004. "Exploring website features for business information," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 467-477, November.
    8. Mike Thelwall & Alastair Smith, 2002. "Interlinking between Asia-Pacific University Web sites," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(3), pages 363-376, November.
    9. Alastair Smith & Mike Thelwall, 2002. "Web Impact Factors for Australasian universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 363-380, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Minjeong Kim & Han Woo Park, 2012. "Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 121-140, January.
    2. David Gunnarsson Lorentzen, 2014. "Webometrics benefitting from web mining? An investigation of methods and applications of two research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 409-445, May.
    3. Janc Krzysztof, 2012. "Possibilities of hyperlink application in spatial research," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 17(17), pages 57-65, January.
    4. Seong Eun Cho & Han Woo Park, 2012. "Government organizations’ innovative use of the Internet: The case of the Twitter activity of South Korea’s Ministry for Food, Agriculture, Forestry and Fisheries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 9-23, January.
    5. Pamela Barreto Lang & Fábio Castro Gouveia & Jacqueline Leta, 2013. "Cooperation in Health: Mapping Collaborative Networks on the Web," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-7, August.
    6. Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022. "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints 9bu5z, Center for Open Science.
    7. José-Antonio Ontalba-Ruipérez & Enrique Orduna-Malea & Adolfo Alonso-Arroyo, 2016. "Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1167-1191, March.
    8. Lepori, Benedetto & Barberio, Vitaliano & Seeber, Marco & Aguillo, Isidro, 2013. "Core–periphery structures in national higher education systems. A cross-country analysis using interlinking data," Journal of Informetrics, Elsevier, vol. 7(3), pages 622-634.
    9. Kim Holmberg, 2010. "Co-inlinking to a municipal Web space: a webometric and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 851-862, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    2. Kim Holmberg, 2010. "Co-inlinking to a municipal Web space: a webometric and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 851-862, June.
    3. Judit Bar-Ilan & Rina Azoulay, 2012. "Map of nonprofit organization websites in Israel," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1142-1167, June.
    4. Peter B. Musgrove & Ray Binns & Teresa Page-Kennedy & Mike Thelwall, 2003. "A method for identifying clusters in sets of interlinking Web spaces," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 657-672, November.
    5. Mike Thelwall & Rong Tang, 2003. "Disciplinary and linguistic considerations for academic Web linking: An exploratory hyperlink mediated study with Mainland China and Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 155-181, September.
    6. Enrique Orduna-Malea & Selenay Aytac, 2015. "Revealing the online network between university and industry: the case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1849-1866, December.
    7. Erjia Yan & Qinghua Zhu, 2008. "Hyperlink analysis for government websites of Chinese provincial capitals," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 315-326, August.
    8. Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022. "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints 9bu5z, Center for Open Science.
    9. Patrick Kenekayoro & Kevan Buckley & Mike Thelwall, 2014. "Automatic classification of academic web page types," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1015-1026, November.
    10. István Szûts & Gábor László, 2006. "Exploring the World Wide Web," Proceedings-4th International Conference on Management, Enterprise and Benchmarking (MEB 2006),, Óbuda University, Keleti Faculty of Business and Management.
    11. Young Mee Chung & So Young Yu & Yong Kwang Kim & Su Yeon Kim, 2009. "Characteristics and link structure of a national scholarly Web space: The case of South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 595-612, September.
    12. Font-Julián, Cristina I & Ontalba-Ruipérez, José-Antonio & Orduña-Malea, Enrique & Thelwall, Mike, 2022. "Which types of online resource support US patent claims?," Journal of Informetrics, Elsevier, vol. 16(1).
    13. Liwen Vaughan, 2016. "Uncovering information from social media hyperlinks: An investigation of twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1105-1120, May.
    14. José-Antonio Ontalba-Ruipérez & Enrique Orduna-Malea & Adolfo Alonso-Arroyo, 2016. "Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1167-1191, March.
    15. Rong Tang & Mike Thelwall, 2004. "Patterns of national and international Web inlinks to US academic departments: An analysis of disciplinary variations," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 475-485, August.
    16. Liwen Vaughan & Margaret E. I. Kipp & Yijun Gao, 2007. "Why are Websites co-linked? The case of Canadian universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 81-92, July.
    17. Heiko Thimm & Karsten Boye Rasmussen & Wolfgang Gohout, 2016. "Website quality and performance indicators including ratio numbers – A study of German and Danish SME companies," Journal of Business, LAR Center Press, vol. 1(3), pages 22-36, July.
    18. Mike Thelwall & Rong Tang & Liz Price, 2003. "Linguistic patterns of academic Web use in Western Europe," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 417-432, March.
    19. Amalia Mas-Bleda & Mike Thelwall & Kayvan Kousha & Isidro F. Aguillo, 2014. "Do highly cited researchers successfully use the social web?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 337-356, October.
    20. Nigel Payne & Mike Thelwall, 2007. "A longitudinal study of academic webs: Growth and stabilisation," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 523-539, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:79:y:2009:i:1:d:10.1007_s11192-009-0410-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.