Mining Domain-Specific Accounts for Scientific Contents from Social Media

This paper proposes a machine learning based approach to automatically create an initial set of domain-specific accounts by matching real-world authors of the latest domain-specific publications to corresponding social media accounts. An efficient approach based on social network analysis is further applied to extend the initial set by finding more domain-specific accounts of various types and filtering out irrelevant general or non-domain-specific accounts. Our experiments on Twitter are used to verify feasibility and effectiveness of the proposed methods.