Black Hat SEO - The Scholar Way

Discussion in 'Black Hat SEO' started by jdstudio, Mar 24, 2012.

  1. jdstudio

    jdstudio BANNED BANNED

    Dec 13, 2011
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    Found this interesting read: Google Scholar‘s Ranking Algorithm: An
    Introductory Overview
    Although it is about the scholar ranking algorithm, I would imagine there are similarities with Google's web search algorithm.

    Here are the summary:

    1. Overall, Google Scholar‘s ranking algorithm relies heavily
    on an article‘s citation count. As a result, Google Scholar
    strengthens the Matthew effect and is more suitable when
    searching for standard literature than gems, the latest trends,
    or articles by authors advancing a different view from the
    mainstream. Should Google Scholar become as popular for
    academic articles as it is for websites, the ranking algorithm
    will create further incentives for scholars to actively
    influence, or manipulate their citation counts.
    2. Google Scholar‘s ranking algorithm puts a high weighting on
    words in the title
    . Knowing this, authors should think
    carefully about the title they give their articles. All relevant
    keywords should be included and it might be sensible to
    choose a long title.
    3. Google Scholar considers only words that are included in an
    article, no synonyms. For this reason, users of Google
    Scholar should perform searches not only for one keyword
    but also for its synonyms. Otherwise they will miss out on
    relevant documents.
    4. It appears as though Google Scholar does not put a weighting
    on the frequency in which search terms occur in the full text
    This means that an article will not be ranked higher for a
    certain search just because the search term occurs more often
    in the full text. Because of this, it could be beneficial for
    authors to abstain from a strict terminology in their articles
    and use more synonyms. This would make their documents
    less readable but more retrievable in Google Scholar.
    5. Google Scholar seems to weigh recent articles stronger than
    older articles which in turn, could compensate for the
    Matthew Effect.
    6. Google Scholar is not indexing text embedded via images.
    Authors should avoid inserting tables, diagrams and figures
    as images (.png, .gif, .jpg, etc.) but use vector graphics and
    real text instead.
    7. Google Scholar uses different ranking algorithms for a
    keyword search in the full text, keyword search title, the
    ‗related articles‘ function and the ‗cited by‘ function.
    8. Google Scholar‘s ranking algorithm puts a high weighting on
    author and journal names
    . Users should be aware of this
    because it could distort the result list. In addition, it could
    also be beneficial for an author to publish in a journal whose
    name includes keywords relevant to the article‘s content. The
    impact of an authors‘ and journals‘ reputation on the ranking
    has not been researched yet.
    The research undertaken can only be seen as a first step. Many
    questions have remained unanswered. Further research is required,
    with more sample data and more analysis in order to get a
    comprehensive picture of Google Scholar‘s ranking algorithm.

    The paper can be found here:
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    Last edited: Mar 24, 2012
  2. manny521

    manny521 Supreme Member

    Sep 15, 2011
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  3. audioman1

    audioman1 Newbie

    Apr 2, 2012
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    Does anyone have advice for getting an article listed in Google Scholar?

    Specifically, does adding "Sources:" and a MLA formatted list get you put in? Does it help to have a PhD on the name?
  4. DarthM

    DarthM Regular Member

    Dec 17, 2011
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    Thinking of spamming Google Scholar? Thank god that didn't happen while I was doing my university dissertation/thesis ;)
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