Understanding information propagation on online social tagging systems: a case study on Flickr

Abstract

Online social networking services (SNS) have been regarded as one of the most powerful online communication channels to propagate information to other users. It means that the online social networking services are providing users with efficient features (e.g., searching, managing and visualizing new information). It is important for many online collaborative applications to understand how the information can be propagated via such social media. Thus, we want to focus on a social tagging system (e.g., Flickr) where users can easily exchange resources as well as their tags. In this paper, given a certain tag, a social pulse can be established by counting (i) the number of users and (ii) the number of resources over time. More importantly, we assume that information can be propagated by (iii) inducibility from other tags by comparing social pulses. To conduct experimentation, a tag-based searching system (called Tagoole) has been implemented to collect a dataset from Flickr.