We know what @you #tag: does the dual role affect hashtag adoption?
By Lei Yang, Tao Sun, Ming Zhang, Qiaozhu Mei. 2012
263 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Daniel Preotiuc-Pietro
- Trevor Cohn
- Saptarshi Ghosh
- Alan Mislove
- Krishna P. Gummadi
- Muhammad Bilal Zafar
- Yabing Liu
- Niloy Ganguly
In Information Systems
- Daniel Preotiuc-Pietro
- Trevor Cohn
- Saptarshi Ghosh
- Alan Mislove
- Parantapa Bhattacharya
- Krishna P. Gummadi
- Muhammad Bilal Zafar
- Niloy Ganguly
In Statistical and Nonlinear Physics
- Alan Mislove
- Yabing Liu
- Daniel Preotiuc-Pietro
- Krishna P. Gummadi
- Trevor Cohn
- Saptarshi Ghosh
- Parantapa Bhattacharya
- Muhammad Bilal Zafar
Citations in the corpus
- The Tweets They Are a-Changin: Evolution of Twitter Users and Behavior (2014, background): “Recently, researchers have worked to gain a better understanding of how users socialize with others in the network: the conversation generated by mentioning another user (Macskassy 2012), and the top trending topics generated using hashtag (Huang, Thornton, and Efthimiadis 2010; Yang et al. 2012).”
- A temporal model of text periodicities using Gaussian Processes (2013, background): “(Yang et al., 2012) studies the dual role of hashtags, of bookmarks of content and symbols of community membership, in the context of hashtag adoption.”
- Sampling Content from Online Social Networks (2015, methodology): “Hashtags in Twitter are used to refer to current events or news stories [Yang et al. 2012b], and users who comment on a certain event/news story often use one or two specific hashtags.”