ACM Home Page
Please provide us with feedback. Feedback
Constructing, organizing, and visualizing collections of topically related Web resources
Full text PdfPdf (304 KB)
Source ACM Transactions on Computer-Human Interaction (TOCHI) archive
Volume 6 ,  Issue 1  (March 1999) table of contents
Pages: 67 - 94  
Year of Publication: 1999
ISSN:1073-0516
Authors
Loren Terveen  AT&T Labs-Research
Will Hill  AT&T Labs-Research
Brian Amento  AT&T Labs--Research and Virginia Tech
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 96,   Citation Count: 13
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/310641.310644
What is a DOI?

ABSTRACT

For many purposes, the Web page is too small a unit of interaction and analysis. Web sites are structured multimedia documents consisting of many pages, and users often are interested in obtaining and evaluating entire collections of topically related sites. Once such a collection is obtained, users face the challenge of exploring, comprehending and organizing the items. We report four innovations that address these user needs: (1) we replaced the Web page with the Web site as the basic unit of interaction and analysis;(2) we defined a new informationstructure, the clan graph, that groups together sets of related sites; (3) we augment the representation of a site with a site profile, information about site structure and content that helps inform user evaluation of a site; and (4) we invented a new graph visualization, the auditorium visualization, that reveals important structural and content properties of sites within a clan graph. Detailed analysis and user studies document the utility of this approach. The clan graph construction algorithm tends to filter out irrelevant sites and discover additional relevant items. The auditorium visualization, augmented with drill-down capabilities to explore site profile data, helps users to find high-quality sites as well as sites that serve a particular function.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
2
 
3
BEDERSON, B. B., HOLLAN, J. D., PERLIN, K., MEYER, J., BACON, D., AND FURNAS, G. 1996. Pad++: A zoomable graphical sketchpad for exploring alternate interface physics. J. Visual Lang. Comput. 7, 3-31.
4
5
6
 
7
 
8
CHAKRABARTI, S., DOM, B. E., GIBSON, D., KUMAR, S. R., RAGHAVAN, P., RAJAGOPALAN, S., AND TOMKINS, A. 1998. Experiments in Topic Distillation. In ACM SIGIR Workshop on Hypertext Information Retrieval on the Web (Melbourne, Australia). ACM Press, New York, NY.
9
 
10
GARFIELD, E. 1979. Citation Indexing. Institute for Scientific Information, Philadelphia, PA.
11
12
 
13
JACKSON, M. H. 1997. Assessing the structure of communication on the World Wide Web. J. Comput. Mediat. Commun. 3, I (June).
14
 
15
 
16
 
17
 
18
 
19
 
20
 
21
22
23
24
25
 
26
SCOTT, J. 1991. Social Network Analysis: A Handbook. Sage Publications, Inc., Thousand Oaks, CA.
 
27
28
 
29
30

CITED BY  13

Collaborative Colleagues:
Loren Terveen: colleagues
Will Hill: colleagues
Brian Amento: colleagues