Influence and passivity in social media


The ever-increasing amount of information flowing through Social Media forces the members of these networks to compete for attention and influence by relying on other people to spread their message. A large study of information propagation within Twitter reveals that the majority of users act as passive information consumers and do not forward the content to the network. Therefore, in order for individuals to become influential they must not only obtain attention and thus be popular, but also overcome user passivity. We propose an algorithm that determines the influence and passivity of users based on their information forwarding activity. An evaluation performed with a 2.5 million user dataset shows that our influence measure is a good predictor of URL clicks, outperforming several other measures that do not explicitly take user passivity into account. We demonstrate that high popularity does not necessarily imply high influence and vice-versa.

DOI: 10.1145/1963192.1963250

Extracted Key Phrases

10 Figures and Tables

Citations per Year

378 Citations

Semantic Scholar estimates that this publication has 378 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Romero2011InfluenceAP, title={Influence and passivity in social media}, author={Daniel M. Romero and Wojciech Galuba and Sitaram Asur and Bernardo A. Huberman}, booktitle={WWW}, year={2011} }