article · Industrial Management & Data Systems · 2008
GSLAP: a graph‐based web analysis tool
S. E. Kruck, Faye P. Teer, William A. Christian
Cited by 6Abstract and details only
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.
Cite this paper
Kruck, S. E., Teer, F. P., & Christian, W. A. (2008). GSLAP: a graph‐based web analysis tool. Industrial Management & Data Systems, 108(2), 162–172. https://doi.org/10.1108/02635570810847554
Kruck, S. E., et al. “GSLAP: a graph‐based web analysis tool.” Industrial Management & Data Systems, vol. 108, no. 2, 2008, pp. 162–72, https://doi.org/10.1108/02635570810847554.
Kruck, S. E., Faye P. Teer, and William A. Christian. 2008. “GSLAP: a graph‐based web analysis tool.” Industrial Management & Data Systems 108 (2): 162–72. https://doi.org/10.1108/02635570810847554.
Kruck, S.E., Teer, F.P. and Christian, W.A. (2008) ‘GSLAP: a graph‐based web analysis tool’, Industrial Management & Data Systems, 108(2), pp. 162–172. Available at: https://doi.org/10.1108/02635570810847554.
@article{kruck2008gslap,
title = {{GSLAP: a graph‐based web analysis tool}},
author = {Kruck, S. E. and Teer, Faye P. and Christian, William A.},
journal = {Industrial Management & Data Systems},
volume = {108},
number = {2},
pages = {162--172},
year = {2008},
doi = {10.1108/02635570810847554}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.