Representation Learning in Continuous-Time Dynamic Signed Networks-Reference-Cited by-同舟云学术

Representation Learning in Continuous-Time Dynamic Signed Networks

Published:2023-10-21 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Sharma Kartik¹^ORCID,Raghavendra Mohit¹^ORCID,Lee Yeon-Chang¹^ORCID,M Anand Kumar²^ORCID,Kumar Srijan¹^ORCID

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

2. National Institute of Technology Karnataka, Surathkal, India

Funder

NSF (National Science Foundation)

Defense Advanced Research Projects Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615032

Reference48 articles.

1. Structural Balance: A Dynamic Perspective

2. Measuring Polarization in Online Debates

3. Omid Askarisichani , Jacqueline Ng Lane , Francesco Bullo, Noah E Friedkin, Ambuj K Singh, and Brian Uzzi. 2019 . Structural balance emerges and explains performance in risky decision-making. Nature communications, Vol. 10 , 1 (2019), 1--10. Omid Askarisichani, Jacqueline Ng Lane, Francesco Bullo, Noah E Friedkin, Ambuj K Singh, and Brian Uzzi. 2019. Structural balance emerges and explains performance in risky decision-making. Nature communications, Vol. 10, 1 (2019), 1--10.

4. Preventing extreme polarization of political attitudes

5. Discovering Polarized Communities in Signed Networks

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