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CHI-WEB  May 2004, Week 3

CHI-WEB May 2004, Week 3

Subject:

C+S: Visual Pathing - Summary

From:

Leslie Cahill <[log in to unmask]>

Reply-To:

Leslie Cahill <[log in to unmask]>

Date:

Tue, 18 May 2004 09:27:30 -0500

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (144 lines)

Thanks to everyone who responded to my question concerning visual pathing.  Below is a summary of the responses I received , along with my original request:

***********************************************************************

Hello!

I am interested in finding good examples of visual pathing.  Specifically, I
am looking for a graphical way to visualize users' navigation on a Web site
(page-by-page from entrance to exit, what paths did users take). This
visualization should also indicate the frequency in which the different
paths were followed (# of users).

If you are aware of any tools or applications that do this kind of visual
pathing, please reply.  I will summarize the findings and post them back to
CHI-WEB.

Thanks!
Leslie Cahill
IBM

***********************************************************************

Leslie,

Brett Lider presented an interesting poster at the IA
Summit. "Visualizing Site Traffic Alongside Site Hierarchy
or Flow"
http://everybreathdeathdefying.com/blog/archives/000036.html
You can get the poster there as well link to video of Brett
explaining it.

-Tanya
***********************************************************************

Leslie,

Check out WebTrends methodology at http://www.netiq.com/webtrends/products/webtrends/tour.asp?origin=ws_featurepop > Navigation Analysis. The examples of their interfaces for visual pathing are presented under the Quick Tour topics of Path Analysis and Scenario Analysis.

I know I've seen this documented somewhere else on their site, but I just spent 10 minutes trying to track it down to no avail.

Amy
***********************************************************************

You might be intrigued by James Spahr's approach.  He presented a poster at the 2003 IA Summit in Portland, OR that I found both visually engaging and demonstrative.  I believe he authored his own tools for reading server logs.

Here's the link to his site and a pdf of the poster...(it's large)

http://www.designweenie.com/images/Spahr-IA_Summit_ApacheMaps.pdf

Hope that helps,

Leo
***********************************************************************

Have you seen Ben Fry's work related to this?
http://acg.media.mit.edu/people/fry/anemone/

It's probably not exactly what you're looking for (it's more experiment than tool), but it's interesting as a visual representation of the data you're talking about.

- David
***********************************************************************

Hi Leslie,

Most web analytics solutions provide some form of visualisation. This is
actually one of the two areas that the vendors have been focusing mostly
on in recent times. The other area is the integration of website user
activity data with other applications such as catalogue and customer data.

ClickTracks was one of the pioneers of visualistion - it might be
worthwhile to look at them. Their solution is page-centric and shows
upstream and downstream traffic to a page - very effective if you are
seeking to optimise a single page. The other side of the spectrum would
be what VBIS from site intelligence offers - content map of a site. But
as i say almost each vendor offers some form of visualisation.

I am not sure how much you know about the web analytics space. There are
a large number of players and solutions, and a very wide spectrum of
price tags. My website provides brief overviews of about 40 solutions.
Please refer to
http://www.hurolinan.com/book/br_list.asp?ResourceType=Vendor.

Please let me know if you have any specific questions about the solutions.

Regards

HUROL INAN
***********************************************************************

Hi Leslie

Check out Maximine (http://www.maximine.com/). Part of their site analysis
product shows a visual map of navigation paths through a site, and the
thickness of the lines indicates the number of users following that path. I
don't use it myself, but our team has a site stats guy who uses it.

Cheers

Stewart
***********************************************************************

We've used a tool called Site Intelligence that maps the paths you describe
extremely effectively:
http://www.site-intelligence.co.uk/
It certainly goes far beyond the capabilities of Webtrends for visualising
this sort of data.

This page
http://www.netliancecorp.com/webanalytics.html
is the only example I could google now of what the diagrams look like.

There are also competitive products with similar capabilities, but their
names escape me now.

francois
***********************************************************************

Hi Leslie

There is a software package in my portfolio that does approximately what you described. Its name is Theme, it was originally developed for behavioral research. The good thing about Theme is that it detects relationships between events in time. User behavior is organized by time schedules, not sequences. Unlike other methods (e.g. Markov analysis, lag sequential analysis) the analysis in Theme can deal with variation (distraction, sidesteps) and interfering behavior (e.g. navigating in multiple windows). You will get the main lines of what users do on your site, rather than all the details. Theme is based on T-pattern analysis, a statistical method that is new to most research areas. T-patterns can be very complex, with more then 20 elements. The software gives statistics such as number of instances per pattern, total number of patterns found, complexity, etc.

I used Theme to analyze a log file from our own web server. There is an example on our website: http://www.noldus.com/products/theme/th_product_information/th_applic.html The raw data is dreadful like any server log, but the things I found in it made sense.

General information about the software and the way it works: http://www.noldus.com/products/theme/index.html

With standard statistical methods you are likely to drown in details or spend much time eliminating them. Some do not time into account at all (wildcard searches, cluster analysis), others do it too rigidly (fourier analysis). Many are based on sequences (Markov, lag sequential, transition matrixes) and very sensitive to variation. Others can detect only very simple 1:1 relationships (correlation and regression).

Kind regards

Albert Willemsen


Leslie Cahill
User Insights, Inc.
817-571-4453
[log in to unmask]

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