Abstract
In this paper, we propose a system that allows a user to find a pattern that has a certain property in a social network. It exploits structural properties of a social network using geometric hashing that has been used in modelbased recognition. Since it requires computationally intensive work, we construct a small-scale Grid environment based on JXTA technologies in order to preprocess and recognize patterns in different networks. We experimented the system with four types of data; blog data, web pages, OWL documents, and sociemetric data. In all cases, the result indicated that our system could find the nodes that match patterns correctly.
Original language | English |
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Pages (from-to) | 125-134 |
Number of pages | 10 |
Journal | Studies in Informatics and Control |
Volume | 19 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2010 Jun |
Keywords
- Geometric hashing
- Social network
ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering