
This is the simulation code of all models in the paper "A simulation-based analysis of the impact of rhetorical citations in science." Authors: Honglin Bao (Harvard Business School hbao@hbs.edu) and Misha Teplitskiy (University of Michigan Ann Arbor, tepl@umich.edu). GitHub repo: https://github.com/Honglin-Bao/rhetorical_citing An earlier version of the paper is available here: https://arxiv.org/abs/2304.06190 Paper: https://www.nature.com/articles/s41467-023-44249-0 We have implemented 6 models: The full model with heterogeneous readers (base model, model 1.1) The null model with heterogeneous readers, threshold-fixed (model 1.2) The null model with heterogeneous readers, citing-budget-fixed (model 1.3) The full model with homogeneous readers (model 2.1) The null model with homogeneous readers, threshold-fixed (model 2.2) The null model with homogeneous readers, citing-budget-fixed (model 2.3) In this repository, we provided a comprehensively detailed commentary on the base model (model 1.1). For the other five models which are derived from the base model, we highlight the distinctions that differentiate them from model 1.1.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
