Conference Proceeding Article
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.
hashtag, information diffusion, Twitter
Databases and Information Systems | Social Media
Data Management and Analytics
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining: ASONAM 2014 : Beijing, China, August 17-20, 2014
IEEE Computer Society
City or Country
Los Alamitos, CA
WANG, Yazhe and ZHENG, Baihua.
On macro and micro exploration of hashtag diffusion in Twitter. (2014). Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining: ASONAM 2014 : Beijing, China, August 17-20, 2014. 285-288. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3584
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.