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WWW and Internet

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page access frequency. Color - page lifecycle stage. new: red. continued: green. deleted: yellow ... Pages there any time during the studied period are shown ... – PowerPoint PPT presentation

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Title: WWW and Internet


1
WWW and Internet
  • CS 7450 - Information Visualization
  • March 3, 2005
  • John Stasko

2
Internet and WWW
  • By nature, abstract, so good target for
    visualization
  • Often described in terms of metaphors
  • Information Superhighway

3
Agenda
  • Two main topics
  • Presentations of the Internet and WWW
  • Focus on topology and navigation, similar to the
    graph visualization work
  • Visual aids for browsing and using the WWW and
    the Internet
  • Assistive visualizations not focusing on
    presenting net structure and connectivity

4
1. Internet and WWW Topology
  • Fundamentally, the Internet is a graph with some
    existing physical topology, though that is often
    not how we want to conceptualize it
  • Might think of it as having a structure
  • Our discussions from graph visualization are
    germane here

5
The Problem
Mukherjea Foley WWW 95
6
The Problem
  • Websites simply are too big
  • Huge graphs
  • Layout is challenging

7
Step Back
  • Why would someone want to visualize the WWW?

8
Some Reasons
  • Aid authors and webmasters with production and
    organization of content
  • Assist Web surfers making sense of the
    information
  • Help researchers understand the Web

9
Depictions of the Web
  • Great web site that presents many different
    conceptualizations of cyberspace
  • Atlas of Cyberspacehttp//www.cybergeography.org/
    atlas/
  • Lets take a few minutes to browse...

10
Mapping the Internet
  • Bill Cheswick at ATT
  • Interesting visualizations plus the data sets are
    available
  • www.cs.bell-labs.com/who/ches/map/index.html

11
Internet Traffic Paths
www.caida.org/tools/measurement/skitter/
12
MboneMap
www.cs.berkeley.edu/elan/mbone/map.html
13
Immersive Systems
www.pnl.gov/remote/projects/starlight/
14
View of Web Sites Pages
www.dynamicdiagrams.com/
15
Web Site
www.mos.ics.keio.ac.jp/NattoView
16
Web Site Visitations
www.inventix.com
17
Task Analysis
  • Potential web-related tasks
  • How and when has info been accessed?
  • Where do people enter and spend time?
  • How do they move about?
  • What paths arent traversed?
  • Where are they coming from?
  • What has been added, changed, deleted?
  • Do changes affect navigation patterns?
  • Do we need to do a redesign?

18
Data Set
  • Each server request is a data case
  • Example variables
  • IP Address/Client host
  • Timestamp
  • URL requested
  • HTTP status (success, not found, )
  • Bytes delivered
  • Referencing URL (HTTP-Referrer)
  • User agent (browser and OS info)
  • ...

19
One Approach
  • Use existing InfoVis tool (Eureka, Spotfire,
    InfoZoom, etc.), load the data set, and analyze
    it
  • Get all the strengths and weakness of the InfoVis
    tool for supporting particular analysis tasks

20
Web Ecology
  • Problem Most visualizations of the web fail to
    present the dynamically changing ecology of users
    and documents on the web
  • What do we mean by ecology metaphor?

Chi, et al CHI 98
21
Web Ecology
  • By understanding set of relationships (ecology)
    among users and their information environment,
    and its change through time (evolution)
    individuals can better understand
  • Web Content
  • Layout of physical and topological space
  • Usage through time

22
Existing Visualizations
  • Despite useful functions, problems
  • Difficulty visualizing large number of documents
  • Considerable amount of screen real-estate used
  • Only permits the visualization of a site at a
    particular point in time, very difficult to make
    comparisons across times
  • No mechanisms provided that allow differences in
    usage to be identified

23
Techniques
  • Disk Tree
  • Center-rooted tree that represents the hyperlink
    structure of a web site
  • Time Tube
  • Set of disk trees that organizes and visualizes
    the evolution of web sites

24
Task Application
  • Visualizations designed to be useful for
  • Local - Finding specific content
  • Comparison - Comparing info at two places
  • Global - Discovering a trend or pattern in the
    site

25
Analysis Domain
  • www.xerox.com, April 97
  • 7,588 items across a 30-day period
  • 889 new items
  • Daily log kept of additions, modifications, and
    deletions of content
  • Base data comes from link info, usage log from
    web servers
  • Topological info from custom hyperlink database

26
Disk Trees
  • Interested in shortest number of hops from one
    document to another
  • Breadth-first traversal transforms the web graph
    into a tree by placing the node as close to the
    root node as possible
  • After obtaining this tree we then visualize the
    structure using the Disk Tree technique

27
Disk Tree
Lines - tree links Line size brightness -
page access frequency Color - page lifecycle
stage new red continued green
deleted yellow
28
Advantages
  • Structure is compact, with pattern easily
    recognizable
  • When viewed straight on or at slight angles, no
    occlusion problems, since entire layout is on a
    2-D plane
  • Unlike cone trees, this 2-D representation can
    utilize a third dimension for other information,
    such as time
  • Circularity pleasing to the eye

29
Time Tubes
  • Time Tubes are multiple disk trees layered out
    along a spatial axis
  • Advantages
  • By using a spatial axis to represent time, we see
    information space-time in a single visualization
  • Focus and Context
  • Possibility for Animation

30
Time Tubes
31
Key Point
  • Pages there any time during the studied period
    are shown in all disk trees for period, even if
    they didnt exist yet

32
Real Use
  • Time Tube answers following questions
  • What devolved into dead wood? When did it? Was
    there a correlation with the restructuring of the
    web?
  • Product safety pages got darker and darker,
    indicating lower usage
  • Doesnt tell why page is less popular, just
    raises a flag to explore page further

33
Real Use
  • What evolved into a popular page? When did it?
    Was there a correlation with the restructuring of
    the Web site?
  • Redesign of site called attention to Fact Book
    page
  • Became more popular and the corresponding Disk
    Trees become greener and greener in successive
    weeks

34
Real Use
  • How was usage affected by items added over time?
  • Press release issued for new family of products,
    shown as red links
  • Usage in the third week jumped from 1 access to
    871 accesses, this example helps us understand
    that this was probably a well received product
    line

35
Real Use
  • How was usage affected by items deleted over
    time?
  • Change in removing direct link from home page to
    main driver page did not negatively affect the
    overall use of driver information
  • Info stayed green indicating usage, but link from
    home page was black, showing not much traffic

36
E-Commerce Applications
  • What if your focus is on understanding user
    access patterns for web sites selling products to
    consumers?
  • What tasks are important?

37
One Approach
  • Blue Martini Software
  • Aggregate web data and visualize simplified graph
    of user movements through web site
  • Highlight places where people leave before
    purchasing
  • ...

Brainerd Becker InfoVis 01
38
Different icons represent different kinds of
pages Only show most-used pages
39
E-Commerce mimics mall shopping ) Gender
differences in purchase paths at websites
40
2. Aiding WWW Browsing
  • Can we utilize information visualization
    techniques to help people interact with the WWW
    and the Internet?
  • Battle lost in hyperspace problem
  • Help us know whats there
  • Help us find things

41
WebBook and Web Forager
  • Personal computers viewed as knowledge processors
    before
  • Spreadsheets and calculators
  • Now viewed as knowledge sources, portals to vast
    information worlds
  • Networking and WWW

Card, Robertson and York CHI 96
42
WWW Problems
  • Pages are hard to find
  • Users get lost, cant relocate pages
  • Difficulty organizing things once found
  • Difficulty doing knowledge processing on found
    thing
  • Interacting with web is too slow to incorporate
    gracefully into other activities

43
Information Foraging Theory
  • From Ecological Biology
  • Idea user stalks certain types of information
  • Users have tendency to interact repeatedly with
    small clusters of information (locality of
    reference)
  • Information encountered at certain rate
  • Users evolve to increase finding rate
  • Sources evolve to be more attractive

44
Mechanisms Evolved
  • 3 mechanisms in the evolution of the web on the
    server side
  • Indexes - Lycos search
  • Table of contents - Yahoo
  • Home pages provided by users with big lists of
    related links

45
Assisting People
  • To provide insight
  • must support sensemaking
  • restructuring
  • recoding
  • Hotlists are one mechanism in this direction

46
Improvements
  • WebBook and Web Forager try to do two things to
    foster information sensemaking
  • Move away from a single web page, and group and
    manipulate related pages
  • Move from a work environment containing a single
    element to a workspace in which the page is
    contained with multiple other entities, including
    Web Books

47
WebBook
48
Features
  • WebBook allows for the rapid interaction with
    object at a higher level of aggregation than
    pages
  • 3D book representation, uses animation
  • Can ruffle through pages, leave bookmarks

49
Applications
  • Hot List books
  • Topic books
  • Search reports
  • Book books
  • ...

50
Web Forager
51
Web Forager
  • Application that embeds the WebBook and other
    objects in a hierarchical 3D information
    workspace
  • Workspace is intended to create patches from the
    web where high density of relevant pages (grouped
    together in Web Books) can be combined with rapid
    access

52
Constituents
  • Hierarchical Workspace - 3 levels
  • Focus Place - full page shown, direct interaction
  • Intermediate memory space - books or pages placed
    when they are in use but not immediate focus
  • Tertiary space - Storage (bookcase)

Video
53
Discussion
  • Strengths/Weaknesses

54
Data Mountain
  • 3D document management system
  • Prototype is an alternative to web browser
    bookmarks or favorites
  • Could be used for any kind of document management

Robertson, et al UIST 98
55
Make-Up
  • 3D inclined plane in which thumbnails of web
    pages are placed to serve as favorites
  • User is responsible for organization
  • Uses smooth animation and audio to assist
    interaction

56
Video
57
User Study
  • Data Mountain versus IE4 Favorites
  • Experienced IE4 users
  • Stored 100 pages, then retrieved them
  • DM fared about-as-well with title cue
  • DM fared better for all other cues

58
Leveraging Human Capabilities
  • Spatial memory analogy with paper placed on a
    pile on your desk
  • User is responsible for personal organization
  • 3D perception minimal cognitive load, good
    utilization of screen space

59
Interaction Techniques
  • Placing pages confinement to inclined plane
    makes normal 2D drag-and-drop sufficient no
    unfamiliar 3D navigation needed
  • Continuous feedback both audio and visual
    feedback are natural minimized unexpected
    interactions/surprises

60
Limitations/Future
  • Limits number of pages stored
  • No explicit support for grouping
  • Landmarks/contours as helpers

61
Discussion
  • Strengths/Weaknesses
  • Could it be used elsewhere?

62
Upcoming
  • Trees Hierarchies (2 days)
  • Reading
  • Chapter 8
  • Lamping Rao

63
References
  • Spence and CMS texts
  • All referred to papers and websites
  • McNamara Defnet and Craighill, Robeson
    Sheridan F 99 slides
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