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GSLAP: a graph‐based web analysis tool

S.E. Kruck (Computer Information Systems and Management Science, James Madison University, Harrisonburg, Virginia, USA)
Faye Teer (Computer Information Systems and Management Science, James Madison University, Harrisonburg, Virginia, USA)
William A. Christian Jr (Computer Information Systems and Management Science, James Madison University, Harrisonburg, Virginia, USA)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 14 March 2008

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396

Abstract

Purpose

The purpose of this paper is to describe a new software tool that graphically depicts analysis of visitor traffic. This new tool is the graph‐based server log analysis program (GSLAP).

Design/methodology/approach

Discovering hidden and meaningful information about web users' patterns of usage is critical to optimization of the web server. The authors designed and developed GSLAP. Presented in this paper is an example of GSLAP in the context of an analysis of the web site of a small fictitious company. Also included is an explanation of current literature that supports graphical display of data as a cognitive aid to understanding data.

Findings

GSLAP is shown to provide a visual server log analysis that is a great improvement on the textual server log.

Research limitations/implications

The benefits of the output from GSLAP are compared with the typical textual output.

Originality/value

The paper describes a software tool that helps the analysis of usage patterns of web traffic.

Keywords

Citation

Kruck, S.E., Teer, F. and Christian, W.A. (2008), "GSLAP: a graph‐based web analysis tool", Industrial Management & Data Systems, Vol. 108 No. 2, pp. 162-172. https://doi.org/10.1108/02635570810847554

Publisher

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Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited