ACM Home Page
Please provide us with feedback. Feedback
The dynamics of personal territories on the web
Full text PdfPdf (751 KB)
Source
Conference on Hypertext and Hypermedia archive
Proceedings of the 20th ACM conference on Hypertext and hypermedia table of contents
Torino, Italy
SESSION: Hypertext structure and usage table of contents
Pages 25-34  
Year of Publication: 2009
ISBN:978-1-60558-486-7
Author
Thomas Beauvisage  Orange Labs, Issy-Les-Moulineaux, France
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 29,   Downloads (12 Months): 114,   Citation Count: 0
Additional Information:

abstract   references   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/10.1145/1557914.1557922
What is a DOI?

ABSTRACT

In this paper, we present a long-term study of user-centric Web traffic data collected in 2000-2002 and 2005-2006 from two large representative panels of French Internet users. Our work focuses on the dynamics of personal territories on the Web and their evolution between 2000 and 2006. At the session level, we distinguish four profiles of browsing dynamics in 2005-2006, and point out the growing dichotomy between straight routine sessions and exploratory browsing. At a global level, we observe that although each individual's corpus of visited sites is permanently growing, his browsing practices are structured around routine well-known sites which operate as links providers to new sites. We argue that this tension between the known and the unknown is constitutive of Web practices and is a fundamental property of personal Web territories.


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
Acharyya, S. and Ghosh, J. Context-sensitive modeling of Web-surfing behaviour using concept trees. In Proc. WEBKDD 2003, Washington, USA, 2003.
2
3
 
4
Assadi, H., Beauvisage, T., Lupovici, C. and Cloarec, T. Users and uses of online digital libraries in France. In Proc. ECDL 2003, Trondheim, Norway, 2003, Springer.
 
5
Beaudouin, V. and Assadi, H. Usages des moteurs de recherche : une approche centrée utilisateurs. In Proc. JADT 2002, Saint-Malo, France, 2002, 33--44.
 
6
Beauvisage, T. Sémantique des parcours des utilisateurs sur le Web. PhD, Université de Paris X, Nanterre, France, 2004.
7
 
8
Beauvisage, T., Beaudouin, V. and Assadi, H. Internet 1.0: early users, early uses. Annals of Telecommunications, 62, 3--4 (2007), 283--304.
 
9
Bidel, S., Lemoine, L., Piat, F., Artires, T. and P., G. Statistical machine learning for tracking hypermedia user behavior. In Proc. MLIRUM'03: Second Workshop on Machine Learning, Information Retrieval and User Modeling, 2003.
10
11
12
 
13
 
14
Brusilovsky, P. The Adaptive Web. Methods and Strategies of Web Personalization Springer, City, 2007.
 
15
Canter, D., Rivers, R. and Storrs, G. Characterizing user navigation through complex data structures. Behavioural and Information Technology, 4 (1985), 93--102.
 
16
 
17
Chevalier, K., Bothorel, C. and Corruble, V. Discovering Rich Navigation Patterns on a Web Site. In Proc. Discovery Science 2003, 2003, Springer, 62--75.
 
18
 
19
 
20
Cooley, R., Mobasher, B. and Srivastava, J. Data Preparation for Mining World Wide Web Browsing Patterns. Knowledge and Information Systems, 1, 1 (1999), 5--32.
 
21
Cunha, C., Bestavros, A. and Crovella, M. E. Characteristics of WWW Client-based Traces. Computer Science Department, Boston University, 1995.
 
22
 
23
Graff, M. Individual differences in hypertext browsing strategies. Behaviour&Information Technology, 24, 2 (2005), 93--99.
24
25
 
26
27
 
28
29
 
30
Kim, H., Kim, G. J., Park, H. W. and Rice, R. E. Configurations of relationships in different media: FtF, email, instant messenger, mobile phone, and SMS. Journal of Computer-Mediated Communication, 12, 4 (2007).
 
31
Kim, K.-S. Experienced Web Users' Search Behavior: Effects of Focus and Emotion Control. In Proc. American Society for Information Science and Technology, Charlotte, USA, 2005.
32
 
33
34
35
 
36
Smoreda, Z., Beauvisage, T., De Bailliencourt, T. and Assadi, H. Saisir les pratiques numériques dans leur globalité. Réseaux, 26, 148--149 (2007), 19--43.
 
37
Spiliopoulou, M., Faulstich, L. C. and Winkler, K. A Data Miner Analyzing the Navigational Behaviour of Web Users. In Proc. Workshop on Machine Learning in User Modelling of the ACAI'99, Creta, Greece, 1999, 588--589.
 
38
Srivastava, J., Desikan, P. and Kumar, V. Web Mining -- Accomplishments&Future Directions. In Proc. PAKDD'03, Seoul, Korea, 2003.
 
39
40
 
41
Xu, G., Cockburn, A. and McKenzie, B. Lost on the Web: An Introduction to Web Navigation Research. In Proc. The Fourth New Zealand Computer Science Research Students Conference, 2001.