Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter-Reference-Cited by-同舟云学术

Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter

Published:2021-12-14 Issue: Volume: Page:
ISSN:
Container-title:IEEE/WIC/ACM International Conference on Web Intelligence
language:
Short-container-title:

Author:

Karandikar Tanvi¹,Prabhu Avinash¹,Tulasi Avinash²,Buduru Arun Balaji²,Kumaraguru Ponnurangam¹

Affiliation:

1. International Institute of Information Technology, Hyderabad, India

2. Indraprastha Institute of Information Technology, Delhi, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3486622.3493953

Reference42 articles.

1. The 2014 Indian elections on Twitter: A comparison of campaign strategies of political parties

2. This Account Doesn’t Exist: Tweet Decay and the Politics of Deletion in the Brexit Debate

3. Engagement with candidate posts on Twitter, Instagram, and Facebook during the 2019 election

4. Ualan Campbell-Smith and Samantha Bradshaw . 2019. Global cyber troops country profile: India . Oxford Internet Institute . Ualan Campbell-Smith and Samantha Bradshaw. 2019. Global cyber troops country profile: India. Oxford Internet Institute.

5. Ines Chami , Albert Gu , Vaggos Chatziafratis , and Christopher Ré. 2020. From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering . In Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin (Eds.). Vol. 33. Curran Associates , Inc ., 15065–15076. https://proceedings.neurips.cc/paper/ 2020 /file/ac10ec1ace51b2d973cd87973a98d3ab-Paper.pdf Ines Chami, Albert Gu, Vaggos Chatziafratis, and Christopher Ré. 2020. From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. In Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin (Eds.). Vol. 33. Curran Associates, Inc., 15065–15076. https://proceedings.neurips.cc/paper/2020/file/ac10ec1ace51b2d973cd87973a98d3ab-Paper.pdf