This project aims to use network motifs (small but recurring patterns in networks) to distinguish biased citation networks from unbiased ones.
diesel_lung_cancer: Motif analysis of the diesel lung cancer citation network, which is a biased citation network (Duyx et al., 2020).
hygiene_hypothesis: Motif analysis of the hygiene hypothesis citation network which is an unbiased citation network (Duyx et al., 2019)
presentations: presentation slides about the project.
We tested our methods on two datasets. One dataset include a biased citation network (the hygiene hypothesis network), and the other include an unbiased network (the diesel and lung cancer network). Below are the dataset ciations
Duyx, Bram; Urlings, Miriam; Swaen, Gerard; Bouter, Lex; Zeegers, Maurice, 2017, "Citation analysis of the published literature on the hygiene hypothesis", https://doi.org/10.34894/G0X6CS, DataverseNL, V3
Duyx, Bram; Urlings, Miriam; Swaen, Gerard; Bouter, Lex; Zeegers, Maurice, 2018, "Citation analysis of the Diesel Exhaust Exposure - Lung Cancer hypothesis", https://doi.org/10.34894/8NTFCX, DataverseNL, V4
We used motifr package to compute the numbers of multi-level network motifs in the networks. Below is the software citation.
Mario Angst and Tim Seppelt (2020). motifr: Motif Analysis in Multi-Level Networks. R package version 1.0.0. https://marioangst.github.io/motifr/
Duyx B, Urlings MJE, Swaen GMH, et al. Selective citation in the literature on the hygiene hypothesis: a citation analysis on the association between infections and rhinitis. BMJ Open 2019;9:e026518. doi: 10.1136/bmjopen-2018-026518
Duyx B, Urlings MJE, Swaen GMH, et al., Determinants of citation in the literature on diesel exhaust exposure and lung cancer: a citation analysis. BMJ Open 2020;10:e033967. doi: 10.1136/bmjopen-2019-033967
June 20, 2022: Create the repository. Initial commit.
Yuanxi Fu, GitHub: @yuanxiesa