Unknown

Dataset Information

Mention effect in information diffusion on a micro-blogging network.


ABSTRACT: Micro-blogging systems have become one of the most important ways for information sharing. Network structure and users' interactions such as forwarding behaviors have aroused considerable research attention, while mention, as a key feature in micro-blogging platforms which can improve the visibility of a message and direct it to a particular user beyond the underlying social structure, is seldom studied in previous works. In this paper, we empirically study the mention effect in information diffusion, using the dataset from a population-scale social media website. We find that users with high number of followers would receive much more mentions than others. We further investigate the effect of mention in information diffusion by examining the response probability with respect to the number

SUBMITTER: Bao P 

PROVIDER: S-EPMC5860736 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature