Journal of Informetrics

Unlike Web hyperlink data, Web traffic data have not yet been the focus of considerable study in Webometrics research. The relationships between Web traffic data and academic/business performance measures have not been as firmly established as the relationships between Web hyperlink data and such performance measures. Although various traffic data sources exist, few studies have examined and compared their relative merits. We carried out a study that aimed to address this lack. We selected groups of universities and businesses from the U.S. and China and collected their Web traffic data from three sources: Alexa Internet, Google Trends for Websites, and Compete. We found significant correlations between Web traffic data and organizational performance measures, specifically academic quality for universities and financial variables for businesses. We also examined the characteristics of the three data sources and compared their usefulness. We found that Alexa Internet outperformed the others.

[1]  Beatriz Plaza.  Monitoring web traffic source effectiveness with Google Analytics: An experiment with time series , 2009, Aslib Proc..

[2]  Liwen Vaughan,et al.  Webometrics , 2005, Annu. Rev. Inf. Sci. Technol..

[3]  Chun-Yao Huang,et al.  Commonality of Web site visiting among countries , 2009, J. Assoc. Inf. Sci. Technol..

[4]  Bruce W.N. Lo.  HOW RELIABLE ARE WEBSITE RANKINGS? IMPLICATIONS FOR E-BUSINESS ADVERTISING AND INTERNET SEARCH , 2006 .

[5]  Peter Ingwersen,et al.  Informetric analyses on the world wide web: methodological approaches to 'webometrics' , 1997, J. Documentation.

[6]  Judit Bar-Ilan,et al.  Information hub blogs , 2005, J. Inf. Sci..

[7]  A. Wołk,et al.  Factors influencing website traffic in the paid content market , 2007 .

[8]  Judit Bar-Ilan,et al.  Informetrics at the beginning of the 21st century - A review , 2008, J. Informetrics.

[9]  Liwen Vaughan.  A New Frontier of Informetric and Webometric Research: Mining Web Usage Data , 2008 .

[10]  Gerald Benoît,et al.  Link analysis: An information science approach , 2006, J. Assoc. Inf. Sci. Technol..

[11]  Mike Thelwall,et al.  Trending Twitter topics in English: An international comparison , 2012, J. Assoc. Inf. Sci. Technol..

[12]  José Luis Ortega,et al.  Scientific research activity and communication measured with cybermetrics indicators , 2006, J. Assoc. Inf. Sci. Technol..

[13]  Alastair G. Smith.  Issues in "Blogmetrics" - Case Studies Using BlogPulse to Observe Trends in Weblogs , 2007 .

[14]  Steven J. Turner.  Website Statistics 2.0: Using Google Analytics to Measure Library Website Effectiveness , 2010 .

[15]  Bernd Markscheffel,et al.  The Top 10 Alternative search Engines (ASE) - within Selected Categories Ranked by Webometric Indicators , 2012 .

[16]  ThelwallMike,et al.  A comparison of methods for collecting web citation data for academic organizations , 2011 .

[17]  C. Holland,et al.  Competition in internet retail markets: The impact of links on web site traffic , 2005 .

[18]  Liwen Vaughan,et al.  Web data as academic and business quality estimates: A comparison of three data sources , 2012, J. Assoc. Inf. Sci. Technol..

[19]  Mike Thelwall,et al.  Sentiment strength detection for the social web , 2012, J. Assoc. Inf. Sci. Technol..

[20]  Judit Bar-Ilan,et al.  What do we know about links and linking? A framework for studying links in academic environments , 2005, Inf. Process. Manag..

[21]  Stephen K. Callaway.  Internet banking and performance: The relationship of web site traffic rank and bank performance , 2011 .

[22]  Liwen Vaughan,et al.  Constructing business profiles based on keyword patterns on Web sites , 2010, J. Assoc. Inf. Sci. Technol..

[23]  Jian Du,et al.  Constructing business profiles based on keyword patterns on Web sites , 2010 .