Editing Webometrics (section)

{{Short description|Science of measuring the World Wide Web}}
{{For|Webometrics Ranking of World Universities|Webometrics Ranking of World Universities}}
{{refimprove|date=May 2014}}
The science of '''webometrics''' (also '''cybermetrics''') tries to measure the [[World Wide Web]] to get knowledge about the number and types of [[hyperlink]]s, structure of the World Wide Web and using patterns. According to Björneborn and Ingwersen, the definition of '''webometrics''' is "the study of the quantitative aspects of the construction and use of information resources, structures and technologies on the Web drawing on [[Bibliometrics|bibliometric]] and [[informetrics|informetric]] approaches."{{sfn|Björneborn|Ingwersen|2004}} The term ''webometrics'' was first coined by Almind and Ingwersen (1997). A second definition of webometrics has also been introduced, "the study of web-based content with primarily quantitative methods for social science research goals using techniques that are not specific to one field of study",{{sfn|Thelwall|2009}} which emphasizes the development of applied methods for use in the wider social sciences. The purpose of this alternative definition was to help publicize appropriate methods outside the information-science discipline rather than to replace the original definition within information science.

Similar scientific fields are: [[bibliometrics]], [[informetrics]], [[scientometrics]], [[virtual ethnography]], and [[web mining]].
[[File:Site based graph relationship.jpg|thumb|Site based graph relationship. The idea was taken from paper "Web-communicator creation costs sharing problem as a cooperative game"{{sfn|Mazalov|Pechnikov|Chirkov|Chuyko|2010|p=189}}]]

One relatively straightforward measure is the "web impact factor" (WIF) introduced by Ingwersen (1998). The WIF measure may be defined as the number of web pages in a web site receiving links from other web sites, divided by the number of web pages published in the site that are accessible to the crawler. However, the use of WIF has been disregarded due to the mathematical artifacts derived from power law distributions of these variables. Other similar indicators using size of the institution instead of number of webpages have been proved more useful.