DebiZ Consulting Ltd. 2008 Page Rank & Site Link Structure Debi Zylbermann Jerusalem Web Professionals SEO Expert Panel 8 th December 2008.

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DebiZ Consulting Ltd Page Rank & Site Link Structure Debi Zylbermann Jerusalem Web Professionals SEO Expert Panel 8 th December 2008

DebiZ Consulting Ltd What is PageRank Page importance (from 0-10)

DebiZ Consulting Ltd

4 What is PageRank Page importance (from 0-10) Casting a vote –Number of votes cast –Importance of pages casting votes

DebiZ Consulting Ltd

6 What is PageRank Page importance Casting a vote –Number of votes cast –Importance of pages casting votes Not all pages votes count –Linkfarms –Nofollow

DebiZ Consulting Ltd nofollow

DebiZ Consulting Ltd What is PageRank Page importance Casting a vote –Number of votes cast –Importance of pages casting votes Not all pages votes count –Linkfarms –Nofollow A factor in search engine results –One of more than 200 –Results often dont seem to take it into account…

DebiZ Consulting Ltd

10 Site Link Structure (i) Fact: A website has a maximum amount of PageRank that is distributed between its pages by internal links. –The maximum PageRank in a site equals the number of pages in the site * 1. –The maximum is increased by inbound links from other sites and decreased by outbound links to other sites.

DebiZ Consulting Ltd Site Link Structure (ii) Fact: The maximum amount of PageRank in a site increases as the number of pages in the site increases. –The more pages that a site has, the more PageRank it has Fact: By linking poorly, it is possible to fail to reach the site's maximum PageRank

DebiZ Consulting Ltd A Site with No Links Page A = 0.15 Page B = 0.15 Page C = 0.15 Sum = 0.45

DebiZ Consulting Ltd Just One Page Linked Page A = 0.15 Page B = Page C = 0.15 Sum =

DebiZ Consulting Ltd All Pages Linked to All Pages Page A = 1 Page B = 1 Page C = 1 Sum = 3

DebiZ Consulting Ltd Page A is Most Important Page A = 1.46 Page B = 0.77 Page C = 0.77 Sum = 3

DebiZ Consulting Ltd Thank you for you time

DebiZ Consulting Ltd Google PageRank Algorithm* PR(A) = (1-d) + d(PR(t1)/C(t1) PR(tn)/C(tn)) *an approximation