Abstract
In this paper, we present a new metric to measure the influence a user has on an online social network. We define this influence as a 2D coordinate, comprising the user’s local influence on their immediate followers, and their global influence on the entire network. We present the general idea underlying our metrics, and demonstrate their usefulness by applying them over 300 Twitter users. Our results show how the metrics can model and predict different classes of users in 2D space.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
