Skip to main content
Article thumbnail
Location of Repository

Abstract Mining Social Network from Spatio-Temporal Events

By Hady W. Lauw, Ee-peng Lim, Teck-tim Tan and Hwee-hwa Pang

Abstract

Knowing patterns of relationship in a social network is very useful for law enforcement agencies to investigate collaborations among criminals, for businesses to exploit relationships to sell products, or for individuals who wish to network with others. After all, it is not just what you know, but also whom you know, that matters. However, finding out who is related to whom on a large scale is a complex problem. Asking every single individual would be impractical, given the huge number of individuals and the changing dynamics of relationships. Recent advancement in technology has allowed more data about activities of individuals to be collected. Such data may be mined to reveal associations between these individuals. Specifically, we focus on data having space and time elements, such as logs of people’s movement over various locations or of thei

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.1763
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.cs.queensu.ca/home/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.