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Greetings! This list of resources is not meant to be exhaustive. There is a lot of great network research out there that is not included below! We have tried to share a brief list of resources relevant to quantitative political science researchers of two main types: (1) new(ish) to networks users and (2) researchers focused on studying networks and conflict.
After
vignette("quickstart_inference", package = "netify"), use
this page for methods background, applied examples, and citations for
the workflow vignettes.
Larson, J. M. (2024). Designing empirical social networks research. Cambridge University Press.
Marin, A., & Wellman, B. (2011). Social network analysis: An introduction. The SAGE handbook of social network analysis, 11-25.
Victor, J. N., Montgomery, A. H., & Lubell, M. (Eds.). (2017). The Oxford handbook of political networks. Oxford University Press.
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications.
Cranmer, S. J., & Desmarais, B. A. (2016). A critique of dyadic design. International Studies Quarterly, 60(2), 355-362.
Dorff, C., & Ward, M. D. (2013). Networks, dyads, and the social relations model. Political Science Research and Methods, 1(2), 159-178.
Larson, J. M., & Lewis, J. I. (2020). Measuring networks in the field. Political Science Research and Methods, 8(1), 123-135.
Minhas, S., Dorff, C., Gallop, M. B., Foster, M., Liu, H., Tellez, J., & Ward, M. D. (2022). Taking dyads seriously. Political Science Research and Methods, 10(4), 703-721.
Dorff, C., Gallop, M., & Minhas, S. (2020). Networks of violence: Predicting conflict in Nigeria. The Journal of Politics, 82(2), 476-493.
Dorff, C., Gallop, M., & Minhas, S. (2023). Network competition and civilian targeting during civil conflict. British Journal of Political Science, 53(2), 441-459.
Larson, J. M. (2021). Networks of conflict and cooperation. Annual Review of Political Science, 24, 89-107.
Cranmer, S. J., & Desmarais, B. A. (2011). Inferential network analysis with exponential random graph models. Political Analysis, 19(1), 66-86.
Csardi G, Nepusz T, Traag V, Horvat S, Zanini F, Noom D, Muller K (2024). igraph: Network Analysis and Visualization in R. doi:10.5281/zenodo.7682609, R package version 2.0.3, https://CRAN.R-project.org/package=igraph.
Cranmer, S. J., Desmarais, B. A., & Morgan, J. W. (2020). Inferential network analysis. Cambridge University Press.
Minhas, S., Hoff, P. D., & Ward, M. D. (2019). Inferential approaches for network analysis: Amen for latent factor models. Political Analysis, 27(2), 208-222.
Statnet Development Team (Pavel N. Krivitsky, Mark S. Handcock, David R. Hunter, Carter T. Butts, Chad Klumb, Steven M. Goodreau, & Martina Morris). (2003-2023). statnet: Software tools for the Statistical Modeling of Network Data. https://statnet.org/
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.