Predicting Spatial Spread on Social Media

Author:

Rimjhim 1,Dandapat Sourav1

Affiliation:

1. Indian Institute of Technology Patna, India

Publisher

ACM

Reference20 articles.

1. Roshni Chakraborty . 2018 . Characterizing User Reactions Towards Twitter’s 280 Character Limit. In Proceedings of the 10th annual meeting of the Forum for Information Retrieval Evaluation. 48–51 . Roshni Chakraborty. 2018. Characterizing User Reactions Towards Twitter’s 280 Character Limit. In Proceedings of the 10th annual meeting of the Forum for Information Retrieval Evaluation. 48–51.

2. Understanding the Impact of Geographical Distance on Online Discussions

3. Social Media Popularity Prediction

4. Information Propagation Routes between Countries in Social Media

5. Yuheng Hu Shelly Farnham and Kartik Talamadupula. 2015. Predicting User Engagement on Twitter with Real-World Events.ICWSM 15(2015) 168–177. Yuheng Hu Shelly Farnham and Kartik Talamadupula. 2015. Predicting User Engagement on Twitter with Real-World Events.ICWSM 15(2015) 168–177.

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