Research Community Mining by Using Brush Structure Model

Since research trends can change dynamically,researchers have to keep up with these new trends and undertake new research topics. Therefore, research communities for new research domains are important. Domain-specific search engines (or vertical search engines) alleviate the problem to some extent, by allowing researchers to perform searches in a particular domain and providing customized community researchers. In this paper, we propose a method to discover research communities. The key features of our method are a network model of papers and a word assignment technique for the communities obtained. This research work is focused on evaluating a bibliometrics search engine called Domain Expert, which produces list of community researchers e-mail addresses of cyber domain experts available freely in the Web. This exploits techniques such as bibliometrics and community mining using Brush structure, which is a new data structure model for indexing by community formation.