Characterizing an online, science-based affinity space using topic modelling, diversity indices, and social network analysis-Reference-Cited by-同舟云学术

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Characterizing an online, science-based affinity space using topic modelling, diversity indices, and social network analysis

Published:2024-09-13 Issue:1 Volume:11 Page:
ISSN:2331-186X
Container-title:Cogent Education
language:en
Short-container-title:Cogent Education

Author:

Lundgren Lisa¹^ORCID,Bex Richard T.²,Bauer Jennifer³,Lam Adriane⁴,Slater Emily¹

Affiliation:

1. Department of Instructional Technology and Learning Sciences, Utah State University, Logan, UT, USA

2. School of Teaching and Learning, Illinois State University, Normal, IL, USA

3. Time Scavengers, Chelsea, MI, USA

4. Earth Sciences Department, Binghamton University, Binghamton, NY, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/2331186X.2024.2402158

Reference49 articles.

1. Scientific Twitter: The flow of paleontological communication across a topic network

2. Boone, A., & Roberts, J. (2024). Twitter talk: Informal learning in public responses to science communication. In J. Clarke-Midura, I. Kollar, X. Gu, & C. D’Angelo (Eds.), Proceedings of the 17th international conference on computer-supported collaborative learning - CSCL2024 (pp. 19–26). International Society of the Learning Sciences.

3. Borgatti, S. P., Everett, M. P., & Johnson, J. C. (2013). Analyzing social networks. Sage.

4. Science, New Media, and the Public

5. Science Communication Demands a Critical Approach That Centers Inclusion, Equity, and Intersectionality

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