(1/14) I finally took a closer look at a relatively new tool for link analysis, babbar.tech that hasn’t got much coverage so far and I am very impressed by the metrics! From the rather conventional ones to the truely „game changers“:
#seo #links
#seo #links
(2/14) Page Value (PV):
A metric that accounts for the popularity of the page. The Page Value computation is based on a streaming method that approximates the behavior of the reasonable surfer (without using semantics information carried by the links). seobythesea.com/2010/05/google…
A metric that accounts for the popularity of the page. The Page Value computation is based on a streaming method that approximates the behavior of the reasonable surfer (without using semantics information carried by the links). seobythesea.com/2010/05/google…
(3/14) The Page Value is then aggregated at the host level to give the Host Value (HV). Host Values are then aggregated at the domain level to give the Domain Value (DV).
(4/14) For the sake of comparison, other metrics from popular SEO tools that accounts for popularity are @Majestic's Citation Flow (CF) & @ahrefs Domain/URL-Rating (DR/UR), BUT those metrics are based on a random surfer model rather than a reasonable one.
(5/14) Page Trust (PT):
A metric that reflects the distance of the page to a trusted (manually selected) set of seed pages. The computation is done using a transmission algorithm "a la Trustrank" (Yahoo’s one, not Google’s). ilpubs.stanford.edu:8090/770/1/2004-52.…
A metric that reflects the distance of the page to a trusted (manually selected) set of seed pages. The computation is done using a transmission algorithm "a la Trustrank" (Yahoo’s one, not Google’s). ilpubs.stanford.edu:8090/770/1/2004-52.…
(6/14) It is similar to the method used by Majestic’s for Trust Flow (TF).
Babbar.tech's Page Trust is then also aggregated at the host, and then at domain level (Host Trust, Domain Trust).
Babbar.tech's Page Trust is then also aggregated at the host, and then at domain level (Host Trust, Domain Trust).
(7/14) Semantic Value (SV):
Also a popularity metric, but takes into account the semantic compatibility between the source of the backlinks pointing to the analyzed page and the target of these links. Thus it is a metric representing the behavior of a topical random surfer.
Also a popularity metric, but takes into account the semantic compatibility between the source of the backlinks pointing to the analyzed page and the target of these links. Thus it is a metric representing the behavior of a topical random surfer.
(8/14) The semantic information is obtained from their own vector embedding method. Basically, it does the same thing as Doc2Vec and similar methods. Meaning: the semantic compatibility is truely based on the content of the source and target page! 🤯
radimrehurek.com/gensim/models/…
radimrehurek.com/gensim/models/…
(9/14) In comparison, the Topical Trust Flow from Majestic doesn’t do that. It use the similar mathematics to the Trust Flow (transmission) algorithm mentioned earlier, but the trusted set of seed pages is categorized by topics.
(10/14) The topics are then propagated/inherited through the links on the Internet and thus may not reflect accurately the topics a page (which is not part of the set of seed pages) is really about.
(11/14) Internal Page Value:
A metric that represents the internal popularity of a page within the host it belongs to. It is the equivalent of an internal pagerank, but using a reasonable surfer model.
A metric that represents the internal popularity of a page within the host it belongs to. It is the equivalent of an internal pagerank, but using a reasonable surfer model.
(12/14) Induced Strength:
A metric that allows you to simulate the induced strength of an hypothetical link between two pages. It uses the Page Value (popularity) + the Page Trust + semantic distance between the two considered pages content to provide a unique value 🤯
A metric that allows you to simulate the induced strength of an hypothetical link between two pages. It uses the Page Value (popularity) + the Page Trust + semantic distance between the two considered pages content to provide a unique value 🤯
(13/14) The Induced Strength is also available in Batch Mode, which is very useful to qualify and prioritize link prospects.
(14/14) More details on their Blog:
1) blog.babbar.tech/how-babbar-is-…
2) blog.babbar.tech/how-babbar-is-…
3) blog.babbar.tech/about-babbars-…
1) blog.babbar.tech/how-babbar-is-…
2) blog.babbar.tech/how-babbar-is-…
3) blog.babbar.tech/about-babbars-…
Bravo @speyronnet et la team @BabbarTech ! 👏👏
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