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Webometrics benefitting from web mining? An investigation of methods and applications of two research fields

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Abstract

Webometrics and web mining are two fields where research is focused on quantitative analyses of the web. This literature review outlines definitions of the fields, and then focuses on their methods and applications. It also discusses the potential of closer contact and collaboration between them. A key difference between the fields is that webometrics has focused on exploratory studies, whereas web mining has been dominated by studies focusing on development of methods and algorithms. Differences in type of data can also be seen, with webometrics more focused on analyses of the structure of the web and web mining more focused on web content and usage, even though both fields have been embracing the possibilities of user generated content. It is concluded that research problems where big data is needed can benefit from collaboration between webometricians, with their tradition of exploratory studies, and web miners, with their tradition of developing methods and algorithms.

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Notes

  1. Source: http://www.go2web20.net/. See Appendix for a list of used social web terms.

  2. A graph is considered directed if the edges imply a direction, e.g. page A links to page B.

  3. The linkdomain command was useful for finding all pages linking to any page belonging to a given web site.

  4. An API is an interface set up by a service provider, which can be used to query the provider for certain data.

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Authors and Affiliations

  1. Swedish School of Library and Information Science, University of Borås, 501 90, Borås, Sweden

    David Gunnarsson Lorentzen

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  1. David Gunnarsson Lorentzen
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Correspondence to David Gunnarsson Lorentzen.

Appendix: The queries

Appendix: The queries

General data collection

Initial Scopus queries

Webometrics

(webometric* OR “web metric*” OR cybermetric* OR scientometric* OR informetric*) AND (“web impact assessment” OR “web impact report*” OR “web impact analy*” OR “web citation analy*” OR “web content analy*” OR “link analy*” OR “webometric link analy*” OR “link relationship map*” OR “link relationship analy*” OR “link impact report*” OR “link impact analy*” OR “link network analy*” OR “colink relationship map*” OR “colink relationship analy*” OR “colink impact report*” OR “colink impact analy*” OR “colink network analy*” OR “co-link relationship map*” OR “co-link relationship analy*” OR “co-link impact report*” OR “co-link impact analy*” OR “co-link network analy*” OR “web analy*” OR “log analy*” OR “web memetic*” OR “social network analy*” OR “social network metric*”)

Web mining

(“web mining” OR “web data mining”) AND (“social network mining” OR “social network metric*” OR “web personalization” OR “web recommend*” OR “web community analy*” OR “web linkage mining” OR “web usage mining” OR “web structure mining” OR “web content mining” OR “web knowledge discovery” OR “collaborative filtering” OR “opinion mining” OR “web community discovery” OR “web graph measur*” OR “web graph model*” OR “log analy*” OR “log mining” OR “web structural analy*” OR “web structure analy*” OR “web temporal analy*” OR “link analy*”)

Refined queries for Scopus and Web of Science

Webometrics, Scopus

TITLE-ABS-KEY(webometric* OR cybermetric* OR scientometric* OR informetric*) AND TITLE-ABS-KEY(“web impact” OR “web citation analy*” OR “web citing analy*” OR “web content analy*” OR “link analy*” OR “colink analy*” OR “co-link analy*” OR “link relationship*” OR “link impact*” OR “link network*” OR “colink relationship*” OR “colink*” OR “colink network*” OR “co-link relationship*” OR “co-link impact*” OR “co-link network*” OR “web analy*” OR “log analy*” OR “web content*” OR “web usage” OR “web memetic*” OR “virtual memetic*” OR “social network” OR “web knowledge”)

142 items returned.

Webometrics, WoS

TS = (webometric* OR cybermetric* OR scientometric* OR informetric*) AND TS = (“web impact” OR “web citation analy*” OR “web citing analy*” OR “web content analy*” OR “link analy*” OR “colink analy*” OR “co-link analy*” OR “link relationship*” OR “link impact*” OR “link network*” OR “colink relationship*” OR “colink*” OR “colink network*” OR “co-link relationship*” OR “co-link impact*” OR “co-link network*” OR “web analy*” OR “log analy*” OR “web content*” OR “web usage” OR “web memetic*” OR “virtual memetic*” OR “social network” OR “web knowledge”)

133 items returned.

Web mining, Scopus

TITLE-ABS-KEY(“web mining” OR “web data mining”) AND TITLE-ABS-KEY(“social network” OR “web personal*” OR “web recommend*” OR “web community” OR “web linkage mining” OR “web usage” OR “web structure” OR “web content” OR “web knowledge” OR “collaborative filtering” OR “opinion mining” OR “web community” OR “web graph measur*” OR “web graph model*” OR “log analy*” OR “log mining” OR “web structural analy*” OR “web structure analy*” OR “web temporal analy*” OR “link analy*”)

688 items returned.

Web mining, WoS

TS = (“web mining” OR “web data mining”) AND TS = (“social network” OR “web personal*” OR “web recommend*” OR “web community” OR “web linkage mining” OR “web usage” OR “web structure” OR “web content” OR “web knowledge” OR “collaborative filtering” OR “opinion mining” OR “web community” OR “web graph measur*” OR “web graph model*” OR “log analy*” OR “log mining” OR “web structural analy*” OR “web structure analy*” OR “web temporal analy*” OR “link analy*”)

338 items returned.

Data collection for citation and keyword analysis

Webometrics

TITLE-ABS-KEY(webometric* or cybermetric*) AND (LIMIT-TO(DOCTYPE, “cp”) OR LIMIT-TO(DOCTYPE, “ar”) OR LIMIT-TO(DOCTYPE, “re”) OR LIMIT-TO(DOCTYPE, “ip”))

307 items returned.

Web mining

TITLE-ABS-KEY(“web mining” or “web data mining”) AND (LIMIT-TO(DOCTYPE, “cp”) OR LIMIT-TO(DOCTYPE, “ar”) OR LIMIT-TO(DOCTYPE, “re”) OR LIMIT-TO(DOCTYPE, “ip”))

2,518 items returned.

Social web search terms

farmville, hulu, prezi, posterous, blipfm, boxee, friv, friendfeed, gliffy, kerpoof, mint, docstoc, animoto, fotoflexer, lijit, google docs, foxytunes, wufoo, twitter, openid, piczo, picnik, joost, footnote, digg, viddler, snap, wesabe, zamzar, linkedin, compete, weebly, typepad, ilike, slide, feedblitz, mybloglog, quantcast, blip.tv, songbird, widgetbox, panoramio, plazes, scrapblog, imagekind, zoho, metacafe, evernote, reddit, zyb, yelp, amie.st, finetune, pageflakes, feedburner, netvibes, zooomr, facebook, youtube, alexa, flickr, gmail, box, ebay, amazon, orkut, myspace, skype, meebo, delicious, del.icio.us, flock, stumbleupon, pandora, last.fm, smugmug, social, 2.0, new media, blog*, communit*, wiki, collabo*, participat*, new web

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Lorentzen, D.G. Webometrics benefitting from web mining? An investigation of methods and applications of two research fields. Scientometrics 99, 409–445 (2014). https://doi.org/10.1007/s11192-013-1227-x

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