On the validity of client‐side vs server‐side web log data analysis

Bibliographic Data

ID12420840
AuthorsGi Woong Yun (0000-0002-9008-5196, Bowling Green State University, corresponding author), J C Ford (University of Wisconsin–Madison), Jay Ford, Robert P Hawkins (University of Wisconsin–Madison), Suzanne Pingree (University of Wisconsin–Madison), Fiona Mctavish (0000-0002-2434-3820, University of Wisconsin–Madison), David H Gustafson (0000-0001-9787-6428, University of Wisconsin–Madison), David Gustafson, Haile Berhe (University of Wisconsin–Madison)
EditorsMariemma Yague
Year2006
Volume16
Issue5
Pages537-552
Publication date2006-10-01
Open AccessYes
TypeARTICLE
VenueInternet Research (JOURNAL)
Journal identifiersISSN: 1066-2243 • E-ISSN: 2054-5657
PublisherEmerald Publishing Limited (PUBLISHER • GB)
DOI10.1108/10662240610711003
OpenAlexW2000165856
LanguageEN
References cited24

Purpose This paper seeks to discuss measurement units by comparing the internet use and the traditional media use, and to understand internet use from the traditional media use perspective. Design/methodology/approach Benefits and shortcomings of two log file types will be carefully and exhaustively examined. Client‐side and server‐side log files will be analyzed and compared with proposed units of analysis. Findings Server‐side session time calculation was remarkably reliable and valid based on the high correlation with the client‐side time calculation. The analysis result revealed that the server‐side log file session time measurement seems more promising than the researchers previously speculated. Practical implications An ability to identify each individual user and low caching problems were strong advantages for the analysis. Those web design implementations and web log data analysis scheme are recommended for future web log analysis research. Originality/value This paper examined the validity of the client‐side and the server‐side web log data. As a result of the triangulation of two datasets, research designs and propose analysis schemes could be recommended

Client-side · Data mining · Server-side · Session (web analytics · The Internet · Web API · Web log analysis software · Web server · World Wide Web · Caching and Content Delivery · Complex Network Analysis Techniques · Computer Science · Image and Video Quality Assessment

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