Pattern Searching in a Social Network

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 model-based 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.