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Kept on Wikipedia:Domain authority

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The domain authority (also referred to as thought leadership) of a website describes its relevance for a specific subject area or industry. This relevance has a direct impact on its ranking by search engines, which assess domain authority through automated analytic algorithms. The relevance of domain authority on website-listing in the Search Engine Results Page (SERPs) of search engines has led to the rise of Black-Hat SEO providers, attempting to fake an increased level of domain authority.[1]

Dimensions

Domain authority can be described through four dimensions:

  1. Prestige of a website and its authors
  2. Quality of the information presented
  3. Information and website centrality
  4. Competitive situation around a subject

The weight of these factors varies depending on the ranking body. For human judgments, decisive factors can include the prestige of a website, the prestige of the contributing authors, the quality and relevance of the information, content novelty, and the competitive situation around the subject area.[2] Search engines, lacking human reasoning, use parameters like information or website prestige and centrality from a graph-theoretical perspective.[3] Moz.org has developed an algorithm branded as "Domain Authority" to predict a website's performance in search engine rankings, with a range from 0 to 100.[4]

Prestige of website and authors

Prestige is identified using graph theory, where a website is considered a node. Its prestige is defined by the quantity and quality of inbound links. High prestige websites are pointed to by many other prestigious websites.[5] Author prestige is also considered, measured by the prestige of authors quoting or referring to them.[2] Search engines use additional factors like link diversification and link dynamics to scrutinize website prestige, checking for signs of black-hat SEO.[6]

Information quality

Information quality describes the value information provides to the reader. Dimensions include accuracy, objectivity, believability, reputation, relevancy, authenticity, timeliness, completeness, interpretability, format, coherence, compatibility, accessibility, and access security.[7] Search engines use indirect means to assess information quality, such as Google's PageRank algorithm, which considers around 200 ranking factors.[8]

Centrality of a website

Centrality describes extensive relationships with other prominent actors, increasing visibility and relevance. It includes inbound and outgoing links, assessing the quality, quantity, and relevance of links.[5] Search engines evaluate the frequency of new content publication to ensure active participation in the community.[2]

Competitive situation around a subject

A website's domain authority is influenced by the competitiveness of its sector. Highly competitive subjects require outperforming competing websites to attain domain authority.

References

  1. Chi, Clifford (6 February 2021). "What Is Domain Authority and How Can You Improve It?". blog.hubspot.com. Retrieved 2021-04-07.
  2. 2.0 2.1 2.2 Scholten, Ulrich (Nov 29, 2015). "What Is Domain Authority and How Do I Build It?". VentureSkies.
  3. Keren, A. "Zagzebski on Authority and Preemption in the Domain of Belief". European Journal for Philosophy of Religion, 2014.
  4. Zilincan, Jakub; Kryvinska., Natalia (May 28, 2015). "Improving Rank of a Website in Search Results–Experimental Approach". International Conference at Brno University of Technology: Perspectives of Business and Entrepreneurship Development - System Engineering Track. 15.
  5. 5.0 5.1 Wasserman, Stanley; Faust, Katherine (1994). Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences). New York, USA: Cambridge University Press. ISBN 0-521-38707-8. Search this book on
  6. Brożek, Anna (September 2013). "Brożek, A. Bocheński on authority. Stud East Eur Thought 65, 115–133 (2013)". Studies in East European Thought. 65 (1): 115–133. doi:10.1007/s11212-013-9175-9. Unknown parameter |s2cid= ignored (help)
  7. Wang, Richard Y.; Strong, Diane M. (October 26, 2013). "Beyond Accuracy: What Data Quality Means to Data Consumers". Journal of Management Information Systems. 12 (4): 5–33. doi:10.1080/07421222.1996.11518099. JSTOR 40398176. Unknown parameter |s2cid= ignored (help)
  8. Patel, Priyanka. "Google Page Rank Algorithm and It's Updates". Academia.edu.


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