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Webometrics 1.0 from AltaVista to Small Worlds and Genre Drift Lennart Björneborn Royal School of Library and Information Science [email_address] NORSLIS PhD course in informetrics   Umeå  18.6.2008
outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],M.C. Escher: House of Stairs, 1951
WWW = largest network    with available connectivity data Wood et al. (1995)
WWW = collaborative weaving =  macro-level aggregations   of  micro-level interactions = reflect social, cultural formations   Wood et al. (1995)
= keep track of    ”the complex web of relationships    between people, programs,    machines and ideas”   (Tim Berners-Lee, 1997)   Wood et al. (1995) WWW
birth of webometrics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
birth of webometrics:   access to link data* linkdomain:norslis.net -site:norslis.net link:www.norslis.net -site:norslis.net (* cf. breakthrough of bibliometrics: access to citation data)
linkdomain:norslis.net  -site:norslis.net
basic link terminology ,[object Object],[object Object],[object Object],[object Object],[object Object],A B D E G F H C co-links (Björneborn 2004)
some proposed web metrics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
some related web science ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
webometrics ,[object Object],( Björneborn 2004) informetrics bibliometrics scientometrics webometrics cybermetrics
webometrics ,[object Object],[object Object],[object Object],[object Object],[object Object],informetrics bibliometrics scientometrics webometrics cybermetrics ( Björneborn 2004)
web data collection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
examples of webometric analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
http:// www.scit.wlv.ac.uk /~cm1993/ mtpublications.html
small-world link analysis Björneborn (2004).  Small-world link structures across an academic Web space:  A library and information science approach . PhD Thesis.  www.db.dk/LB based on graph theory and social network analysis
graph theory - Leonhard Euler (1707-1783), Königsberg (Wilson & Watkins  1990)
graph theory ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Gross & Yellen (1999).  Graph theory and its applications . E A B C D
graph theory applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
social network analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
small-world  networks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],( Watts & Strogatz 1998)
[object Object],[object Object]
[object Object],[object Object],[object Object],small-world link analysis Björneborn (2004).  Small-world link structures across an academic Web space:  A library and information science approach . PhD Thesis.  www.db.dk/LB
UK link data   2001 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
‘ corona’ graph model  reachability structures 1893   SCC Strongest Connected Component 96   IN-Tendrils connected from IN 2660   OUT reachable from  SCC 626   IN traversable to SCC 55   OUT-Tendrils connected to OUT 7   Tube connecting IN to OUT 2332   Dis-connected ( Björneborn 2004)
10 seed nodes  (stratified sampling in SCC component) 10  path nets  with all  shortest link paths  between five pairs of  topically dissimilar subsites Ophthalmology  Dept, [eye research] Oxford  Palaeontology  Research Group, Earth Sciences Dept, Bristol Mathematics  Dept,  Glasgow Caledonian Chemistry  Dept, Glasgow Atmospheric, Oceanic and Planetary  Physics , Oxford eye.ox.ac.uk Geography  Dept, Plymouth geog.plym.ac.uk palaeo.gly.bris.ac.uk Speech Research Group,  Linguistics  Dept, Essex speech.essex.ac.uk maths.gcal.ac.uk Psychology  Dept, Manchester psy.man.ac.uk chem.gla.ac.uk Economics  Dept, Southampton economics.soton. ac.uk atm.ox.ac.uk Faculty of  Humanities and Social Sciences , Portsmouth  hum.port.ac.uk
.ac.uk .uk cfd.me.umist.ac.uk ercoftac.mech.surrey.ac.uk cajun.cs.nott.ac.uk ukoln.bath.ac.uk cs.man.ac.uk ashmol.ox.ac.uk collections.ucl.ac.uk vlmp.museophile.sbu.ac.uk shortest  link path
path net = ‘mini’ small world transversal link path net  = all shortest link paths between two given nodes (subsites) network analysis tool =  Pajek     adjacency matrix ( Björneborn 2006)
some indicative findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
small-world web implications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
webometric study:   genre connectivity  ,[object Object],[object Object]
[object Object],[object Object],genre connectivity analysis  ,[object Object],[object Object]
meta genres
genre pairs
web of genres genre network graph  extracted with  Pajek  software  ©  Björneborn
genre  connectivity ,[object Object],[object Object],[object Object],[object Object],[object Object]
genre drift + topic drift ,[object Object],[object Object],[object Object]
questions?
read more: Björneborn (2004).  Small-world link structures across an academic web space : A library and information science approach.  PhD dissertation.  www.db.dk/LB Björneborn (2006).  ‘Mini small worlds’ of shortest link paths crossing domain boundaries in an academic Web space.  Scientometrics , 68(3): 395-414. Björneborn (forthcoming).  Genre connectivity and genre drift in a web of genres. In: Mehler et al.  Genres on the Web: Corpus Studies and Computational Models .

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Webometrics 1.0 from AltaVista to Small Worlds and Genre Drift

  • 1. Webometrics 1.0 from AltaVista to Small Worlds and Genre Drift Lennart Björneborn Royal School of Library and Information Science [email_address] NORSLIS PhD course in informetrics Umeå 18.6.2008
  • 2.
  • 3. WWW = largest network with available connectivity data Wood et al. (1995)
  • 4. WWW = collaborative weaving = macro-level aggregations of micro-level interactions = reflect social, cultural formations Wood et al. (1995)
  • 5. = keep track of ”the complex web of relationships between people, programs, machines and ideas” (Tim Berners-Lee, 1997) Wood et al. (1995) WWW
  • 6.
  • 7. birth of webometrics: access to link data* linkdomain:norslis.net -site:norslis.net link:www.norslis.net -site:norslis.net (* cf. breakthrough of bibliometrics: access to citation data)
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 17. small-world link analysis Björneborn (2004). Small-world link structures across an academic Web space: A library and information science approach . PhD Thesis. www.db.dk/LB based on graph theory and social network analysis
  • 18. graph theory - Leonhard Euler (1707-1783), Königsberg (Wilson & Watkins 1990)
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26. ‘ corona’ graph model reachability structures 1893 SCC Strongest Connected Component 96 IN-Tendrils connected from IN 2660 OUT reachable from SCC 626 IN traversable to SCC 55 OUT-Tendrils connected to OUT 7 Tube connecting IN to OUT 2332 Dis-connected ( Björneborn 2004)
  • 27. 10 seed nodes (stratified sampling in SCC component) 10 path nets with all shortest link paths between five pairs of topically dissimilar subsites Ophthalmology Dept, [eye research] Oxford Palaeontology Research Group, Earth Sciences Dept, Bristol Mathematics Dept, Glasgow Caledonian Chemistry Dept, Glasgow Atmospheric, Oceanic and Planetary Physics , Oxford eye.ox.ac.uk Geography Dept, Plymouth geog.plym.ac.uk palaeo.gly.bris.ac.uk Speech Research Group, Linguistics Dept, Essex speech.essex.ac.uk maths.gcal.ac.uk Psychology Dept, Manchester psy.man.ac.uk chem.gla.ac.uk Economics Dept, Southampton economics.soton. ac.uk atm.ox.ac.uk Faculty of Humanities and Social Sciences , Portsmouth hum.port.ac.uk
  • 28. .ac.uk .uk cfd.me.umist.ac.uk ercoftac.mech.surrey.ac.uk cajun.cs.nott.ac.uk ukoln.bath.ac.uk cs.man.ac.uk ashmol.ox.ac.uk collections.ucl.ac.uk vlmp.museophile.sbu.ac.uk shortest link path
  • 29. path net = ‘mini’ small world transversal link path net = all shortest link paths between two given nodes (subsites) network analysis tool = Pajek  adjacency matrix ( Björneborn 2006)
  • 30.
  • 31.
  • 32.
  • 33.
  • 36. web of genres genre network graph extracted with Pajek software © Björneborn
  • 37.
  • 38.
  • 40. read more: Björneborn (2004). Small-world link structures across an academic web space : A library and information science approach. PhD dissertation. www.db.dk/LB Björneborn (2006). ‘Mini small worlds’ of shortest link paths crossing domain boundaries in an academic Web space. Scientometrics , 68(3): 395-414. Björneborn (forthcoming). Genre connectivity and genre drift in a web of genres. In: Mehler et al. Genres on the Web: Corpus Studies and Computational Models .