A new metrics-related book focused on academic search engines

[Stephen J Bensman]

Isidro,
Thanks for the information.  I am looking forward to hearing from Jose.  He and I are already in close contact on these matters.  I definitely want you two to vet the paper we have done.  It should be ready soon.  I screwed up in posting in it on arXiv, and it may take a while to correct my stupidity of submitting the damn thing multiple times, because I did not know what I was doing.

You have already answered one of my questions.  The former Yahoo research engine was based upon AltVista, which defined documentary sets by words.  It was this system that Page tested and rejected as delivering incoherent, irrelevant sets.  Instead Page incorporated Garfield's theory of citation indexing, which defines relevant sets by linkages.  He strengthened this by also incorporating Narin's influential method.  Doing this delivered clearer more relevant sets than AltVista.  Multiple linkages are better at semantically defining sets that multiple token words.   If your book presents these facts, then I can strangle Microsoft Academic in its cradle, as Churchill once said of a certain political system that now seems to have come back into vogue.

I hope to get the book and hear from Jose.

Respectfully,

Stephen J Bensman, Ph.D
LSU Libraries
Lousiana State University
Baton Rouge, LA 70803
USA



-----Original Message-----
From: ASIS&T Special Interest Group on Metrics [mailto:SIGMETRICS at LISTSERV.UTK.EDU] On Behalf Of Isidro F. Aguillo
Sent: Thursday, October 09, 2014 9:07 AM
To: SIGMETRICS at LISTSERV.UTK.EDU
Subject: Re: [SIGMETRICS] A new metrics-related book focused on academic search engines


Dear Stephen,

Ooops!

Sorry, I am not the author of the book. it was written by my collaborator and friend José Luis Ortega, also in this forum, so you can expect an answer from him soon.

But, I can give a few hints to some of your questions. Bing is using the technology of the former Yahoo search engine. I do not know exactly the way Bing works but my feeling is they are using visits as main criteria. 
Probably there are far more variables involved, but number of visits play a similar role to links in Google`s PageRank. Of course, it is also possible links are also taken into account.

Microsoft Academic Search is a completely different animal. Really it is a traditional bibliographic database, but I must recognize that although they are using h-index, I am unable to understand the rankings they publish. To my knowledge, MAS and Bing are completely independent products. On the contrary, Google and Google Scholar are closely interlinked.

Regarding web indicators I use number of webpages under different levels of web addresses, like for example number of webpages in the webservers of your university

site:lsu.edu

This syntax is valid for Google, Bing and even Google Scholar.

Best regards,



On 09/10/2014 15:36, Stephen J Bensman wrote:
> Adminstrative info for SIGMETRICS (for example unsubscribe):
> http://web.utk.edu/~gwhitney/sigmetrics.html
>
> Isidro,
> Thanks for writing this book-- Academic Search Engines: A Quantitative Outlook.  I am having LSU Libraries buy a copy of it, so you have sold at least one.  I hope that you have discussed the differences between how the Google and Microsoft search engines operate.  I understand how PageRank operates, but I do not understand how Bing operates.  All I know is that you obtain much better results with Google than with Microsoft, which seems to be quite new.  I have tested them both.
>
> For your information, Harzing has now interfaced her PoP program with Microsoft Academic as well as Google Scholar.  Now you can really run comparative tests between Google and Microsoft.  You seem to get better results with her PoP than with the Microsoft Academic site itself.  At least her rankings are much better, although it is quite obvious from her program that Microsoft coverage is much weaker.
>
> As a matter of curiosity, what metric did you use to measure the quantitative aspects?  You cannot use standard bibliographic classifications such as number of books, journals, journal articles, working papers, etc. etc., because I do not think that either Google or Microsoft can identify these.  The Web has no authority structure whatever.  You are not dealing with OCLC WorldCat.  It must be something like megabytes of data or something like that.
>
> We are finishing a paper on how Google Scholar operates.  I'd like you to vet it when we have it ready.
>
> Respectfully,
>
> Stephen J Bensman, Ph.D.
> LSU Libraries
> Lousiana State University
> Baton Rouge, LA 70803
> USA
>
>
> -----Original Message-----
> From: ASIS&T Special Interest Group on Metrics 
> [mailto:SIGMETRICS at LISTSERV.UTK.EDU] On Behalf Of Isidro F. Aguillo
> Sent: Wednesday, October 08, 2014 6:27 AM
> To: SIGMETRICS at LISTSERV.UTK.EDU
> Subject: [SIGMETRICS] A new metrics-related book focused on academic 
> search engines
>
> Adminstrative info for SIGMETRICS (for example unsubscribe):
> http://web.utk.edu/~gwhitney/sigmetrics.html
>
> José Luis Ortega. Academic Search Engines: A Quantitative Outlook.
> Elsevier, 2014. Chandos Information Professional Series ISBN 
> 1780634722, 9781780634722
>
> http://store.elsevier.com/Academic-Search-Engines/Jose-Luis-Ortega/isb
> n-9781843347910/
>
>
> Academic Search Engines: intends to run through the current panorama of the academic search engines through a quantitative approach that analyses the reliability and consistence of these services. The objective is to describe the main characteristics of these engines, to highlight their advantages and drawbacks, and to discuss the implications of these new products in the future of scientific communication and their impact on the research measurement and evaluation. In short, Academic Search Engines presents a summary view of the new challenges that the Web set to the scientific activity through the most novel and innovative searching services available on the Web.
>
> Key Features:
> · This is the first approach to analyze search engines exclusively addressed to the research community in an integrative handbook.
> · This book is not merely a description of the web functionalities of these services; it is a scientific review of the most outstanding characteristics of each platform, discussing their significance with recent investigations.
> · This book introduces an original methodology based on a quantitative analysis of the covered data through the extensive use of crawlers and harvesters which allow going in depth into how these engines are working.
>
> José Luis Ortega (CCHS-CSIC) is a web researcher in the Spanish National Research Council (CSIC). He achieved a fellowship in the Cybermetrics Lab of the CSIC, where he finished his doctoral studies (2003-8). In 2005, he was employed by the Virtual Knowledge Studio of the Royal Netherlands Academy of Sciences and Arts, and in 2008 he took up a position as information scientist in the CSIC. He now continues his collaboration with the Cybermetrics Lab in research areas such as webometrics, web usage mining, visualization of information, academic search engines and social networks for scientists.
>


-- 

************************************
Isidro F. Aguillo, HonDr.
The Cybermetrics Lab, IPP-CSIC
Grupo Scimago
Madrid. SPAIN

isidro.aguillo at csic.es
ORCID 0000-0001-8927-4873
ResearcherID: A-7280-2008
Scholar Citations SaCSbeoAAAAJ
Twitter @isidroaguillo
Rankings Web webometrics.info
************************************


---
Este mensaje no contiene virus ni malware porque la protección de avast! Antivirus está activa.
http://www.avast.com