Mining social network of conference participants from the Web

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

研究成果: Conference contribution

20 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003
出版社Institute of Electrical and Electronics Engineers Inc.
ページ190-193
ページ数4
ISBN(印刷版)0769519326, 9780769519326
DOI
出版ステータスPublished - 2003
外部発表はい
イベントIEEE/WIC International Conference on Web Intelligence, WI 2003 - Halifax, Canada
継続期間: 2003 10月 132003 10月 17

Other

OtherIEEE/WIC International Conference on Web Intelligence, WI 2003
国/地域Canada
CityHalifax
Period03/10/1303/10/17

ASJC Scopus subject areas

  • 人工知能
  • 情報システム
  • コンピュータ ネットワークおよび通信
  • 人間とコンピュータの相互作用
  • 情報システムおよび情報管理

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