This Shiny app has been developed in the FIN-CLARIAH research infrastructure Work Package 3.5 'Developing analysis methods for text network analysis of political texts'. The contributors of this Shiny app and its underlying infrastructure are Pyry Kantanen, Markus Korhonen, Timo Ylikännö, Kimmo Elo.

We wish to acknowledge the following R packages that this Shiny app is directly dependent on:

• Chang W, Cheng J, Allaire J, Sievert C, Schloerke B, Xie Y, Allen J, McPherson J, Dipert A, Borges B (2023). shiny: Web Application Framework for R. R package version 1.7.5.1, https://CRAN.R-project.org/package=shiny.
• Sievert C, Cheng J, Aden-Buie G (2023). bslib: Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'. R package version 0.6.1, https://CRAN.R-project.org/package=bslib.
• Müller K, Wickham H, James DA, Falcon S (2023). RSQLite: SQLite Interface for R. R package version 2.3.1, https://CRAN.R-project.org/package=RSQLite.
• Mühleisen H, Raasveldt M (2023). duckdb: DBI Package for the DuckDB Database Management System. R package version 0.9.2-1, https://CRAN.R-project.org/package=duckdb.
• Richardson N, Cook I, Crane N, Dunnington D, François R, Keane J, Moldovan-Grünfeld D, Ooms J, Apache Arrow (2023). arrow: Integration to 'Apache' 'Arrow'. R package version 13.0.0.1, https://CRAN.R-project.org/package=arrow.
• Benoit K, Watanabe K, Wang H, Nulty P, Obeng A, Müller S, Matsuo A (2018). “quanteda: An R package for the quantitative analysis of textual data.” Journal of Open Source Software, *3*(30), 774. doi:10.21105/joss.00774, https://doi.org/10.21105/joss.00774, https://quanteda.io.
• Wickham H, François R, Henry L, Müller K, Vaughan D (2023). dplyr: A Grammar of Data Manipulation. R package version 1.1.3, https://CRAN.R-project.org/package=dplyr.
• Wickham H, Vaughan D, Girlich M (2023). tidyr: Tidy Messy Data. R package version 1.3.0, https://CRAN.R-project.org/package=tidyr.
• Xie Y, Cheng J, Tan X (2023). DT: A Wrapper of the JavaScript Library 'DataTables'. R package version 0.30, https://CRAN.R-project.org/package=DT.
• Bates D, Maechler M, Jagan M (2023). Matrix: Sparse and Dense Matrix Classes and Methods. R package version 1.6-1.1,
• Hornik K, Meyer D, Buchta C (2022). slam: Sparse Lightweight Arrays and Matrices. R package version 0.1-50, https://CRAN.R-project.org/package=slam.
• H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.
• Sievert C (2023). bsicons: Easily Work with 'Bootstrap' Icons. R package version 0.1.2, https://CRAN.R-project.org/package=bsicons.
• Additional thanks to the indirect dependencies of this Shiny app, i.e. the R packages and system dependencies that abovementioned packages rely on!

Source for the R code for calculating co-occurrence statistics:

• Schweinberger, Martin. 2021. The Language Technology and Data Analysis Laboratory (LADAL). Brisbane: The University of Queensland, School of Languages and Cultures. url: https://slcladal.github.io/index.html.