Tadvise: A twitter assistant based on twitter lists

Abstract

Micro-blogging is yet another dynamic information channel where the user needs assistance to manage incoming and outgoing information streams. In this paper, we present our Twitter assistant called Tadvise that aims to help users to know their followers / communities better. Tadvise recommends well-connected topic-sensitive followers, who may act as hubs for broadcasting a tweet to a larger relevant audience. Each piece of advice given by Tadvise is supported by declarative explanations. Our evaluation shows that Tadvise helps users to know their followers better and also to find better hubs for propagating community-related tweets. © 2011 Springer-Verlag.