Backlink

Relative to some web resource, a backlink is a link from some other website (the referrer) to that web resource (the referent).[1] A web resource may be (for example) a website, web page, or web directory.[1]

A backlink is a reference comparable to a citation.[2] The quantity, quality, and relevance of backlinks for a web page are among the factors that search engines like Google evaluate in order to estimate how important the page is.[3][4] PageRank calculates the score for each web page based on how all the web pages are connected among themselves, and is one of the variables that Google Search uses to determine how high a web page should go in search results.[5] This weighting of backlinks is analogous to citation analysis of books, scholarly papers, and academic journals.[1][4] A Topical PageRank has been researched and implemented as well, which gives more weight to backlinks coming from the page of a same topic as a target page.[6]

Some other words for backlink are incoming link, inbound link, inlink, inward link, and citation.[1]

  1. ^ a b c d Björneborn, Lennart; Ingwersen, Peter (2004). "Toward a Basic Framework for Webometrics". Journal of the Association for Information Science and Technology. 55 (14): 1218. CiteSeerX 10.1.1.94.1691. doi:10.1002/asi.20077. Archived from the original on 2014-09-10. Retrieved 2020-05-27.
  2. ^ Goh, Dion; Foo, Schubert (2007). Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively: Emerging Technologies and Applications for Searching the Web Effectively. Information Science Reference. p. 132. ISBN 978-1-59904-543-6.
  3. ^ "About Search". Archived from the original on 2011-11-04. Retrieved 2016-04-20.
  4. ^ a b Lingras, Pawan; Akerkar, Rajendra (10 March 2010). "Web Structure Mining § PageRank Algorithm". Building an Intelligent Web: Theory and Practice. Jones & Bartlett Publishers. p. 294. ISBN 978-1-4496-6322-3.
  5. ^ Olsen, Martin (20 May 2010). "Maximizing PageRank with New Backlinks". In Diaz, Josep; Calamoneri, Tiziana (eds.). Algorithms and Complexity: 7th International Conference, CIAC 2010, Rome, Italy, May 26–28, 2010, Proceedings. Berlin: Springer Science & Business Media. p. 37. ISBN 978-3-642-13072-4. OCLC 873382847.
  6. ^ Nie, Lan; Davison, Brian D.; Qi, Xiaoguang (2006). "Topical link analysis for web search". Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. SIGIR '06. New York, NY, US: ACM. pp. 91–98. doi:10.1145/1148170.1148189. ISBN 978-1595933690. S2CID 2877831.