Distributed community crawling

ABSTRACT

The massive distribution of the crawling task can lead to inefficient exploration of the same portion of the Web. We propose a technique to guide crawlers exploration based on the notion of Web communities. Thest ability properties of the method can be used as an implicit coordination mechanism to increase the efficiency of the crawling task.

REFERENCES

• 1: Commonwealth Scientific and Industrial Research Organization. In http://es.csiro.au/TRECWeb/.
• 2: Junghoo Cho , Hector Garcia-Molina, Parallel crawlers, Proceedings of the 11th international conference on World Wide Web, May 07-11, 2002, Honolulu, Hawaii, USA [doi>10.1145/511446.511464]
• 3: Ravi Kumar , Prabhakar Raghavan , Sridhar Rajagopalan , Andrew Tomkins, Trawling the Web for emerging cyber-communities, Computer Networks: The International Journal of Computer and Telecommunications Networking, v.31 n.11-16, p.1481-1493, May 17, 1999
• 4: Marc Najork , Janet L. Wiener, Breadth-first crawling yields high-quality pages, Proceedings of the 10th international conference on World Wide Web, p.114-118, May 01-05, 2001, Hong Kong, Hong Kong [doi>10.1145/371920.371965]
• 5: Peter Pirolli , James Pitkow , Ramana Rao, Silk from a sow's ear: extracting usable structures from the Web, Proceedings of the SIGCHI conference on Human factors in computing systems: common ground, p.118-125, April 13-18, 1996, Vancouver, British Columbia, Canada [doi>10.1145/238386.238450]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Clustering

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process; Information filtering
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.4 Hypertext/Hypermedia
          Subjects: Navigation

General Terms:
Algorithms, Experimentation

Keywords:
distributed crawling, web communities, web metrics