The domain authority (also referred to as thought leadership) of a website describes its relevance for a specific subject area or industry. Domain Authority is a search engine ranking score developed by Moz.[1] This relevance has a direct impact on its ranking by search engines, trying to 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 led to the birth of a whole industry of Black-Hat SEO providers, trying to feign an increased level of domain authority.[2] The ranking by major search engines, e.g., Google’s PageRank is agnostic of specific industry or subject areas and assesses a website in the context of the totality of websites on the Internet.[3] The results on the SERP page set the PageRank in the context of a specific keyword. In a less competitive subject area, even websites with a low PageRank can achieve high visibility in search engines, as the highest ranked sites that match specific search words are positioned on the first positions in the SERPs.[4]
Dimensions
Domain authority can be described through four dimensions:
- Prestige of a website and its authors
- Quality of the information presented
- Information and website centrality
- Competitive situation around a subject
The weight of these factors varies in function of the ranking body. When individuals judge domain authority, decisive factors can include the prestige of a website, the prestige of the contributing authors in a specific domain, the quality and relevance of the information on a website, the novelty of the content, but also the competitive situation around the discussed subject area or the quality of the outgoing links.[5] Several search engines (e.g., Bing, Google, Yahoo) have developed automated analyses and rank algorithms for domain authority. Lacking "human reasoning" which would allow to directly judge quality, they make use of complementary parameters such as information or website prestige and centrality from a graph-theoretical perspective, manifested in the quantity and quality of inbound links.[6] The software as a service company Moz.org has developed an algorithm and weighted level metric, branded as "Domain Authority", which gives predictions on a website's performance in search engine rankings with a discriminating range from 0 to 100.[7][8]
Prestige of website and authors
Prestige identifies the prominent actors in a qualitative and quantitative manner on the basis of Graph theory. A website is considered a node. Its prestige is defined by the quantity of nodes that have directed edges pointing on the website and the quality of those nodes. The nodes’ quality is also defined through their prestige. This definition assures that a prestigious website is not only pointed at by many other websites, but that those pointing websites are prestigious themselves[9] Similar to the prestige of a website, the contributing authors’ prestige is taken into consideration,[10] in those cases, where the authors are named and identified (e.g., with their Twitter or Google Plus profile). In this case, prestige is measured with the prestige of the authors who quote them or refer to them and the quantity of referrals which these authors receive.[5] Search engines use additional factors to scrutinize the websites’ prestige. To do so, Google’s PageRank looks at factors like link-diversification and link-dynamics: When too many links are coming from the same domain or webmaster, there is a risk of black-hat SEO. When backlinks grow rapidly, this nourishes suspicion of spam or black-hat SEO as origin.[11] In addition, Google looks at factors like the public availability of the whoIs information of the domain owner, the use of global top-level domains, domain age and volatility of ownership to assess their apparent prestige. Lastly, search engines look at the traffic and the amount of organic searches for a site as the amount of traffic should be congruent to the level of prestige that a website has in a certain domain.[5]
Information quality
Information quality describes the value which information provides to the reader. Wang and Strong categorize assessable dimensions of information into intrinsic (accuracy, objectivity, believability, reputation), contextual (relevancy, value-added/authenticity, timelessness, completeness, quantity), representational (interpretability, format, coherence, compatibility) and accessible (accessibility and access security).[12] Humans can base their judgments on quality based on experience in judging content, style and grammatical correctness. Information systems like search engines need indirect means, allowing concluding on the quality of information. In 2015, Google’s PageRank algorithm took approximately 200 ranking factors included in a learning algorithm to assess information quality.[13]
Centrality of a website
Prominent actors have extensive and ongoing relationships with other prominent actors. This increases their visibility and makes the content more relevant, interconnected, and useful.[9] Centrality, from a graph-theoretical perspective, describes unidirectional relationships, without distinguishing between receiving and sending information. In this context, it includes the inbound links considered in the definition of 'prestige,' complemented by outgoing links. Another difference between prestige and centrality is that the measure of prestige applies to a complete website or author, whereas centrality can be considered at a more granular level, such as an individual blog post. Search engines evaluate various factors to assess the quality of outgoing links, including link-centrality, which describes the quality, quantity, and relevance of outgoing links as well as the prestige of their destination. They also consider the frequency of new content publication ('freshness of information') to ensure that the website remains an active participant in the community.[5]
Competitive situation around a subject
The domain authority that a website attains is not the only factor which defines its positioning in the SERPs of search engines. The second important factor is the competitiveness of a specific sector. Subjects like SEO are very competitive. A website needs to outperform the prestige of competing websites to attain domain authority. This prestige, relative to other websites, can be defined as “relative domain authority.”
References
- ^ Chi, Clifford (6 February 2021). "What Is Domain Authority and How Can You Improve It?". blog.hubspot.com. Retrieved 2021-04-07.
- ^ Ntoulas, Alexandros; Najor; Manasse, Mark; Fetterly, Dennis (May 23–26, 2006). "Detecting spam web pages through content analysis" (PDF). Proceedings of the 15th international conference on World Wide Web. Vol. WWW 2006. pp. 83–92. doi:10.1145/1135777.1135794. ISBN 1595933239. S2CID 9068476.
- ^ Brin, Sergey; Page, Larry (January 29, 1998). "The PageRank Citation Ranking: Bringing Order to the Web" (PDF). Stanford University InfoLab Publication Server. Archived from the original (PDF) on January 26, 2009. Retrieved December 12, 2015.
- ^ Luh, Cheng-Jye; Yang, Sheng-An; Huang, Ting-Li Dean (2016-01-01). "Estimating Google's search engine ranking function from a search engine optimization perspective". Online Information Review. 40 (2): 239–255. doi:10.1108/OIR-04-2015-0112. ISSN 1468-4527.
- ^ a b c d Scholten, Ulrich (Nov 29, 2015). "What Is Domain Authority and How Do I Build It?". VentureSkies.
- ^ Keren, A. "Zagzebski on Authority and Preemption in the Domain of Belief". European Journal for Philosophy of Religion, 2014.
- ^ 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.
- ^ Orduna-Malea, Enrique; Aytac, Selenay (May 9, 2015). "Revealing the online network between university and industry: the case of Turkey". Scientometrics. 105 (3): 1849–1866. arXiv:1506.03012. doi:10.1007/s11192-015-1596-4. S2CID 255006902.
- ^ a b 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.
- ^ Sengoren, Arif (22 April 2022). "How to measure domain authority and how to value it".
- ^ 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. S2CID 255070107.
- ^ 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. S2CID 205581875.
- ^ Patel, Priyanka. "Google Page Rank Algorithm and It's Updates". Academia.edu.