1. Informetrics 16.-19.6.2008 Umeå Kim Holmberg Information Studies Åbo Akademi Åbo, Finland Supervisors: Dr. Gunilla Widén-Wulff Dr. Mike Thelwall kim.holmberg@abo.fi - www.webometrics.fi

2. Educational possibilities of Second Life

3. What is Library 2.0? www.library2pointoh.fi ”Library 2.0 – a new participatory context” research project funded by the Academy of Finland

4. Webometric Network Analysis Mapping cooperation and geopolitical connections between local government administration kim.holmberg@abo.fi - www.webometrics.fi

5. Research goals - Increase knowledge about Finnish municipal web space - Find useable applications for webometric research - Map motivations to create links (to and from municipal web sites) kim.holmberg@abo.fi - www.webometrics.fi methods development

6. kim.holmberg@abo.fi - www.webometrics.fi

7. 1. How does the local government use links in the region of Finland Proper? - Outlinks (different ADM) - Inlinks - Number of pages - Age of web site - Language - Population - Age of population - WIF kim.holmberg@abo.fi - www.webometrics.fi Some typical features

8. Language, bilingualism kim.holmberg@abo.fi - www.webometrics.fi

9. Age of Web sites kim.holmberg@abo.fi - www.webometrics.fi

10. Age of Web sites kim.holmberg@abo.fi - www.webometrics.fi ?

11. 2. What kind of information can be extracted from links and how that information can be used? Co-inlinking (co-citation) Interlinking Co-outlinking (bibliographic coupling) AB C D kim.holmberg@abo.fi - www.webometrics.fi Web space of interest

12. Kamada-Kawai kim.holmberg@abo.fi - www.webometrics.fi Co-outlinking Co-inlinking Interlinking

13. Reciprocal interlinking kim.holmberg@abo.fi - www.webometrics.fi

14. Largest removed kim.holmberg@abo.fi - www.webometrics.fi Interlinking

15. Co-outlinking Categorized by genre Manually sorted by region Links below average counted - libraries - education - health care - recycling - sports - traffic - business - etc. Combined with i.e. geography M11 kim.holmberg@abo.fi - www.webometrics.fi

16. Network Analysis Density Degree centrality Closeness centrality Betweenness centrality Clustering Reciprocity ??? kim.holmberg@abo.fi - www.webometrics.fi

17. 3. What kind of existing relationships, networks and phenomenas outside the web are similar to those mapped by link analysis? Correlation between link data and ”offline” data Geography Existing cooperation and shared resources Historic relationships Expert opinions (interviews, deck of cards) ??? kim.holmberg@abo.fi - www.webometrics.fi

18. Interlinking Kamada-Kawai

19. kim.holmberg@abo.fi - www.webometrics.fi Geography

20. Similarity Measures Quadratic Assignment Procedure Simple matching ”Matching of 1’s” or ”Matching of existing links/relationships” Jaccard coefficient Precision/Recall kim.holmberg@abo.fi - www.webometrics.fi

21. Similarity Measures kim.holmberg@abo.fi - www.webometrics.fi MethodResultRange Simple match87.2%0 - 100% Match of Existing links42.0%0 - 100% Jaccard coefficient0.270 - 1 Interlinking and geography PrecisionRecallAverageDifference Interlinking0.42 0.0027

22. 4. Which are the most important motivations to create links in the region? Type of links - type of information associated with the links and the context they are created in Purpose of links - what purpose the links fulfil by connecting the two documents - Classification of approx. 500 links / link type kim.holmberg@abo.fi - www.webometrics.fi

23. Topics of discussion MDS Similarity measures Precision / Recall Interviews Combined linking kim.holmberg@abo.fi - www.webometrics.fi

24. MDS - Co-inlinking, with link frequencies - Persson’s Party Clustering kim.holmberg@abo.fi - www.webometrics.fi

25. Similarity Measures Quadratic Assignment Procedure Simple matching ”Matching of 1’s” or ”Matching of existing links/relationships” Jaccard coefficient Precision/Recall kim.holmberg@abo.fi - www.webometrics.fi

26. Precision / Recall Linking compared with geography

27. kim.holmberg@abo.fi - www.webometrics.fi Interviews ???

28. kim.holmberg@abo.fi - www.webometrics.fi Combined linking interlinking AND co-inlinking AND co-outlinking ”The Phoenix bird”

29. Thank you! kim.holmberg@abo.fi - www.webometrics.fi