Published
Carpentras, D., Lüders, A. & Quayle, M. Mapping the global opinion space to explain anti-vaccine attraction. Sci Rep 12, 6188 (2022). https://doi.org/10.1038/s41598-022-10069-3
Lueders, A., Carpentras, D., & Quayle, M. . Attitude networks as intergroup realities: Using network-modelling to research attitude-identity relationships in polarized political contexts. British Journal of Social Psychology (2023). https://doi.org/10.1111/bjso.12665
Carpentras, D., Lueders, A., & Quayle, M. (2024). Response Item Network (ResIN): A network-based approach to explore attitude systems. Humanities and Social Sciences Communications, 11(1), 1-14. https://doi.org/10.1057/s41599-024-03037-x
Chen, Y., Speer, A., De Bruin, B., Carpentras, D., & Warncke, P. A “broken egg” of US Political Beliefs: Using response-item networks (ResIN) to measure ideological polarization. Network Science, 13, e20. (2025) https://doi.org/10.1017/nws.2025.10016
Warncke, P., Chen, Y., Speer, A., de Bruin, B., Lüders, A., & Carpentras, D. ResIN: A new method to analyze socio-political attitude systems. In Computational Social Science of Social Cohesion and Polarization (pp. 105-129). Cham: Springer Nature Switzerland. (2026) https://doi.org/10.1007/978-3-032-01373-6_5
Preprints and reports
Warncke, P., Carpentras, D., Lüders, A., & Quayle, M. Introducing ResIN: An Applied Tutorial to the Response-Item-Networks Package for R. (2026) https://doi.org/10.7910/DVN/WQLSIP
Carpentras, D., Lüders A., Warncke P., Morselli D., Belief Network Theory: A conceptual framework for studying complex attitude-identity systems (2026) https://doi.org/10.13140/RG.2.2.35745.88169
Carpentras, D., Bridging networks with linear spaces to study attitudes and political polarization (2021) https://sobigdata.eu/blog/bridging-networks-linear-spaces-study-attitudes-and-political-polarization [ResIN on Twitter data]
Carpentras, D., A method for estimating distance in opinion dynamics models using surveys data. (2019) https://doi.org/10.13140/RG.2.2.29644.77449 [“proto-ResIN”]