Category Archives: data

This dataset includes 183 Twitter retweet networks collected during the 2019 Finnish Parliamentary Elections. The nodes in the networks represent anonymized Twitter accounts, and directed ties indicate retweet endorsements on specific topics. Each file contains three columns: retweeter, retweeted, and weight. The are citation networks used in the articles:

Chen, T. H. Y., Salloum, A., Gronow, A., Ylä-Anttila, T., & Kivelä, M. (2021). Polarization of climate politics results from partisan sorting: Evidence from Finnish Twittersphere. Global Environmental Change, 71, 102348. https://doi.org/10.1016/j.gloenvcha.2021.102348

Salloum, A., Chen, T. H. Y., & Kivelä, M. (2022). Separating polarization from noise: comparison and normalization of structural polarization measures. Proceedings of the ACM on human-computer interaction, 6(CSCW1), 1-33. https://doi.org/10.1145/3512962

Get the data from here: https://zenodo.org/records/8434372

License: Creative Commons Attribution Non Commercial 4.0 International

A network of correlations among investors in the Nokia security. Nodes are anonymized investors on the Helsinki stock exchange, divided into three groups: households, financial institutions, and non-financial institutions. Edges are pairwise correlations between the time series of daily net volumes of the individual investors, spanning 1998-2002. Data used in the article:

S Ranganathan, M Kivelä, and J Kanniainen, “Dynamics of investor spanning trees around dot-com bubble”, PLoS ONE 13 (6), e0198807 (2018)

Get the data from here: https://doi.org/10.5061/dryad.5b8n621

Licence:  CC0 1.0 Universal (CC0 1.0) Public Domain Dedication

Citation networks between journals with moving time window (10/5 years) starting from 1900 and ending in 2013. Contains metadata on journal classifications. Built from a database of 630 million citations. The are citation networks used in the article:

Darko Hric, Kimmo Kaski, Mikko Kivelä: “Stochastic Block Model Reveals Maps of Citation Patterns and Their Evolution in Time”

Get the data from here: https://zenodo.org/record/1255837

License: Creative Commons Attribution Non Commercial 4.0 International

Friendship network of around 8k Finnish users in last.fm. This is the “lastfm” network used in the article:

Toivonen, R., Kovanen, L., Kivelä, M., Onnela, J. P., Saramäki, J., & Kaski, K. (2009). A comparative study of social network models: Network evolution models and nodal attribute models. Social networks, 31(4), 240-254.

Get the data from here: https://zenodo.org/record/3416186

Licence: “Creative Commons Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales”

Friendship network of around 189k lasf.fm users and their genders. This is the “Last.fm” network used in the article:

A. Asikainen, G. Iñiguez,  J. Ureña-Carrión,  K. Kaski, M. Kivelä. Cumulative effects of triadic closure and homophily in social networks. Science Advances, Vol. 6, no. 19, eaax7310 (2020)

Get the data from here: https://zenodo.org/record/3726824

Licence: “Creative Commons Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales”