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Page Rankings: What do they teach us?

Page Rankings: What do they teach us?. Faina Linkov, PhD Ronald LaPorte, PhD And the Global Health Network Supercourse project University of Pittsburgh. Google’s description of page rank.

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Page Rankings: What do they teach us?

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  1. Page Rankings: What do they teach us? Faina Linkov, PhD Ronald LaPorte, PhD And the Global Health Network Supercourse project University of Pittsburgh

  2. Google’s description of page rank …PageRank relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page's value. In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. But, Google looks at more than the sheer volume of votes, or links a page receives; it also analyzes the page that casts the vote. Votes cast by pages that are themselves "important" weigh more heavily and help to make other pages "important…"

  3. Understanding Page Rank • All search engines assign a value to your site based on inbound links • Google calls this relevancy factor “Page Rank” (PR) - synonymous with popularity ranking • An inbound link is a vote for your page • An outbound link is a vote for the page you’re linking to

  4. Understanding Page Rank • A page is assigned PR as soon as it’s indexed • The page receiving the most inbound links gets the highest page rank • You can pass PR around to pages on your site

  5. Outbound Links • Your popularity is not determined by the sites you link to • Your outbound links affect the popularity of the sites you’re linking to • Internal links and inbound links have the most impact on your popularity • Outbound links help identify you with a hub

  6. Page Rankings and the Supercourse

  7. Teacher in Mexico Teacher in Bolivia Teacher in Santo Domingo Teacher in Pittsburgh Teacher in Havana Teacher in San Francisco Supercourse Model: lecture sharing

  8. Current Status 40000 participants (15 Nobel Prize winners) 151 countries Over 2800 lectures

  9. A Model for Developing and Prescribing Assistive Technology Devices Mary Ellen Buning, PhD, OTR/L, ATP Jue Wang, PhD University of Pittsburgh

  10. Cardiovascular Epidemiology:DefinitionsHistorical Perspectives and Assessing Risk of CVDRecent trends and population differences in CHD and CHD risk factors Nathan Wong

  11. Topic – Google PPT. lecture ranking for the Supercourse Amebiasis - 2(English) 3 (Spanish) Communicable Disease and disasters - 3/372 Cardiovascular epidemiology - 1&2/9730 Diabetes epidemiology - 3/13,000 Evidenced based public health - 1/158 Global Health - 1&2/3,820,000 Indian Health - 1&2/56,000 Infectious disease epidemiology - 1/21,000 Islamic/Arab health - 2/537 Information on the Web - 1/78 Meta Analysis - 6/116,000 Occupation Cancer - 3/18,000 Pakistani Health - 6&7/18,500 Pitt.edu - 2/2,400,000 Primordial Prevention - 1/126 Russian health - 2&3/19,000 Tsunami - 11/31,000

  12. Health (this is a search on the whole web for the term "health"  (985,000,000 pages)          NIH =          3         WHO =      40         CDC =     220          PAHO=  224

  13. Global health (328,000,000 pages) US AID                3 Gates                    4 Supercourse         8 CDC                   12 WHO                  67 NIH                     70 PAHO              >300

  14. Page Rankings within  NIH search term, overall , and then only for the Institutes All                      Only Institutes NLM                             3                                1 NCCAM                      13                                 2 NIMH                          12                                 3 NHLBI                         19                                 4 CIT                              27                                 5 CSR                             29                                 6 NIAID                          30                               7 NEI                              36                                 8 NICHD                        42                                 9 NIAMS                        48                                 10 NIDA                           56                                 11 NIA                             59                                 12 NIDDK                        62                                 13 NINDS                         66                                 14 NIAAA                        69                                 15 CC                              73                                 16 NIEHS                        75                                 17  NIDCD                       82                                 18 NCRR                         133                                19 NINR                          205                                20 NIBIB                          221                               21 NCI                              236                               22 FIC                             >300                             23 NIGRI                         >300                              24 NIGMS                       >300                              25 NCMHD                      >300                             26

  15. Conclusions • Page ranking is an important tool helping to assess the popularity and the quality of the website • Supercourse lectures are scored very highly by Google rankings • We need to explore how page rankings can influence information dissemination in the US and worldwide

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