Publication Type

Conference Proceeding Article

Publication Date

8-2014

Abstract

This exploratory work studies hashtag diffusion in Twitter. The analysis is conducted from two aspects. From the macro perspective, we study general properties of hashtag diffusion, and classify hashtags into three main classes based on their temporal dynamics referred as 'single spike', 'multi-spikes', and 'fluctuation', and find that each of these classes has some unique characteristics. From the micro perspective, we investigate individual diffusion.We adopt Edelman's 'topology of influence' theory to identify four type of users with different influence levels in diffusion based on their dynamic retweet behaviors. The results of our study are useful for gaining more insights of information diffusion in Twitter.

Keywords

hashtag, information diffusion, Twitter

Discipline

Databases and Information Systems | Social Media

Research Areas

Data Management and Analytics

Publication

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining: ASONAM 2014 : Beijing, China, August 17-20, 2014

First Page

285

Last Page

288

ISBN

9781479958771

Identifier

10.1109/ASONAM.2014.6921598

Publisher

IEEE Computer Society

City or Country

Los Alamitos, CA

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org/10.1109/ASONAM.2014.6921598

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