Filter Bubbles and Content Diversity? An Agent-Based Modeling Approach-Reference-Cited by-同舟云学术

Filter Bubbles and Content Diversity? An Agent-Based Modeling Approach

Published:2020 Issue: Volume: Page:215-226
ISSN:0302-9743
Container-title:Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis
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Author:

Belavadi Poornima^ORCID,Burbach Laura^ORCID,Halbach Patrick^ORCID,Nakayama Johannes^ORCID,Plettenberg Nils^ORCID,Ziefle Martina^ORCID,Valdez André Calero^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-49570-1_15

Reference27 articles.

1. Abbassi, Z., Mirrokni, V.S., Thakur, M.: Diversity maximization under matroid constraints. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 32–40 (2013)

2. Barnier, J.: rmdformats: HTML Output Formats and Templates for ‘rmarkdown’ Documents. R package version 0.3.6 (2019). https://CRAN.R-project.org/package=rmdformats

3. Bezanson, J., et al.: Julia: a fresh approach to numerical computing. SIAM Rev. 59(1), 65–98 (2017). https://doi.org/10.1137/141000671

4. Bonabeau, E.: Agent-based modeling: methods and techniques for simulating human systems. Proc. Natl. Acad. Sci. 99(suppl 3), 7280–7287 (2002)

5. Valdez, A.C.: rmdtemplates: rmdtemplates - an opinionated collection of R markdown templates. R package version 0.3.0.0 (2019). https://github.com/statisticsforsocialscience/%20rmd_templates

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