An Approach to Member Recognition for Specific Organizations Based on User Interaction on Twitter

In this paper we propose an approach that can find out the members for specific organizations based on user interaction on social networking Twitter. First we define three hypotheses to introduce user interaction on Twitter into organizational membership identification. Then we design the approach to mine colleagueship so as to recognize members for a specific organization. Given an organization with its public account and several known members as users on Twitter, our approach can dig out the users who affiliate the organization based on their interaction with the known members on Twitter. We also conducted an experiment to evaluate our approach. These experimental results show that our approach has a high recall rate. This research work tries to map the relations between users from virtual network to reality, which is very meaningful.