stopfakes.gov rank 1030 |
Number of domains linking to stopfakes.gov 1 | semantic flow 0.15 |
Number of links to stopfakes.gov 2 | semantic flow 0.15 |
Pages with highest topical PageRank pointing to domain.
url / atext / target url | |
---|---|
https://www.trade.gov/ intellectual property rights ↳https://www.stopfakes.gov/welcome | www.trade.gov |
Relevant domains with most links to selected domain.
domain | |||
---|---|---|---|
http://trade.gov/ | 2 | 0.15 | trade.gov |
Pages from domain with most relevant inbound links.
url | |||||||||||||
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https://www.stopfakes.gov/welcome | 1 | 0.15 | 0.96 | 0.08 | 0.8 | yes | 27 | 16 | 3 | 3 | 1 | 1 | |
https://www.stopfakes.gov/assistance | 1 | 0.16 | 0.81 | 0.04 | -1 | - | -1 | -1 | -1 | -1 | 0 | 0 | |
https://www.stopfakes.gov/ | 1 | 0.16 | 0.81 | 0.04 | -1 | - | -1 | -1 | -1 | -1 | 0 | 0 | |
https://www.stopfakes.gov/China-IPR-Webinar-Series | 1 | 0.16 | 0.8 | 0.04 | -1 | - | -1 | -1 | -1 | -1 | 0 | 0 | |
https://www.stopfakes.gov/article?id=U-S-China-Unite-to-Fight-Intellectual-Property-Theft | 1 | 0.16 | 0.79 | 0.04 | -1 | - | -1 | -1 | -1 | -1 | 0 | 0 | |
https://www.stopfakes.gov/article?id=USTR-Publishes-2016-Notorious-Markets-Report | 1 | 0.16 | 0.78 | 0.04 | -1 | - | -1 | -1 | -1 | -1 | 0 | 0 | |
https://www.stopfakes.gov/article?id=USTR-Publishes-Annual-Special-301-Report-for-U-S-Inte | 1 | 0.16 | 0.74 | 0.04 | -1 | - | -1 | -1 | -1 | -1 | 0 | 0 | |
https://www.stopfakes.gov/article?id=OECD-Study-Highlights-USD-451-Billion-in-Annual-Trade | 1 | 0.16 | 0.72 | 0.04 | -1 | - | -1 | -1 | -1 | -1 | 0 | 0 | |
https://www.stopfakes.gov/article?id=The-United-States-Signs-Memorandum-of-Understanding-o | 1 | 0.16 | 0.56 | 0.03 | -1 | - | -1 | -1 | -1 | -1 | 0 | 0 | |
https://www.stopfakes.gov/Consumer-Guide-to-Counterfeits--Pirated-Goods | 1 | 0.16 | 0.52 | 0.03 | -1 | - | -1 | -1 | -1 | -1 | 0 | 0 |
Pages from domain with most likely on-topic outgoing links.
url | |||||||||||||
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https://www.stopfakes.gov/welcome | 13 | 0.15 | 0.96 | 0.49 | 0.8 | yes | 27 | 16 | 3 | 3 | 1 | 1 |
Similar domains to domain, based on inbound linking patterns from other relevant domains. This is also known in SEO as topical co-citation.