Mining social network of conference participants from the Web

Y. Matsuo, K. Hasida, H. Tomobe, M. Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)


In a ubiquitous computing environment, it is desirable to provide a user with information depending on a user's situation, such as time, location, user behavior, and social context. At conventions, such as academic conferences and exhibitions, where participants must register in advance, the social context of participants can be extracted from the Web using their names and affiliations without asking the participants many questions. Here, we attempt to extract the social network of participants from the Web, where a node represents a participant and an edge represents the relationship of two participants. Each edge is added using the number of pages retrieved by a search engine which include both participants names. Moreover, each edge has a label such as "coauthors" and "members of the same project" by applying classification rules to the page content. We show an example of the extracted network and make a preliminary evaluation. This network can be used in many information services, such as finding an appropriate introducer or negotiator, and who one should talk to in order to efficiently expand his/her network.

Original languageEnglish
Title of host publicationProceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)0769519326, 9780769519326
Publication statusPublished - 2003
Externally publishedYes
EventIEEE/WIC International Conference on Web Intelligence, WI 2003 - Halifax, Canada
Duration: 2003 Oct 132003 Oct 17


OtherIEEE/WIC International Conference on Web Intelligence, WI 2003


  • Behavioral science
  • Internet

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Information Systems and Management


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