Entropy-Based Characterization of Influence Pathways in Traditional and Social Media-Reference-Cited by-同舟云学术

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Entropy-Based Characterization of Influence Pathways in Traditional and Social Media

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC)
language:
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Author:

Garibay Ozlem Ozmen¹,Yousefi Niloofar¹,Aslett Kevin²,Baggio Jacopo²,Hemberg Erik³,Jayalath Chathura¹,Mantzaris Alexander⁴,Miller Bruce¹,O’Reilly Una-May⁴,Rand William⁵,Senevirathna Chathurani¹,Garibay Ivan¹

Affiliation:

1. University of Central Florida,Industrial Engineering & Management Systems,Orlando,FL,USA

2. University of Central Florida,School of Politics, Security and International Affairs,Orlando,FL,USA

3. Massachusetts Institute of Technology,Computer Science & Artificial Intelligence Lab,Cambridge,MA,USA

4. University of Central Florida,Statistics & Data Science Department,Orlando,FL,USA

5. North Carolina State University,Poole School of Management,Raleigh,NC,USA

Funder

Advanced Research Projects Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10061709/10061730/10061757.pdf?arnumber=10061757

Reference18 articles.

1. Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media

2. Influence and Passivity in Social Media

3. Information-theoretic measures of influence based on content dynamics

4. Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey

5. DeepInf

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