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  • How to Optimize Your SocialRank:

    Posted by Dan Cristo
    July 22, 2011 @ 8:53 am
    ( 1 ) Comment

    Learn to optimize your SocialRank and increase social signals online

    If you had a chance to read my last post on SocialRank, you’d know that SocialRank is the new PageRank. Not in the sense that PageRank is dead, but rather that SocialRank is what PageRank was meant to do – measure content authority and creditability.

    The difference between the two is that PageRank is the measurement of URL popularity. It started out with Google seeding a few authoritative URL’s which then they passed a portion of it’s rank to other urls through links. SocialRank is the measurement of human popularity. It too must be seeded, then passed through social interactions such as follows, comments, tweets, likes, etc. SocialRank likely won’t fully replace PageRank, but rather it will overlay a social graph on top of the link graph to personalize results and reduce spam.

    Read more
  • SocialRank is the New PageRank – Here’s How it Works

    Posted by Dan Cristo
    July 19, 2011 @ 5:10 pm
    ( 1 ) Comment

    Learn to optimize your SocialRank and increase social signals online

    The Late 90’s:
    Back in the late 90’s, when search engines like Excite, Altavista, Hotbot and Lycos ruled the world, search results were determined only by relevancy.The more keywords on your page that matched the query, the higher your page would rank.

    Then Google flipped the search world upside down with its notion of PageRank. The link based popularity metric that introduced the concept of authority + relevancy as its ranking mode.

    PageRank Rules the Day:
    Google was 100% right in thinking that authority, or credibility, should be a ranking factor, the problem was that Google had no way of telling how authoritative the author of the page really was. In fact, in most cases they couldn’t even tell “Who” the author of the page was. The best they could do was to look at what other domains linked to them and from that try to calculate a popularity score – PageRank.

    Read more

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