The data for "Separating Controversy from Noise: Comparison and Normalization of Structural Polarization Measures" -paper The data set is described in the article [1] and [2]. Please cite the original article(s) when using this data set. The data set consists of 183 topic endorsement networks inferred from Twitter interactions during the 2019 Finnish Elections. Nodes are accounts and undirected ties indicate uni- or bi-directional endorsement via retweets on the given topic. Please see the references for details. No identifying information nor original raw data from the Twitter platform is included here. See the network_info.csv for more details on each network. The "_p1" extension in the filename means that the network was built based o...
Social media platforms have emerged as a hub for political and social interactions, and analyzing th...
This paper presents unsupervised algorithms to uncover polarization in social networks (namely, Twit...
These are the data related to the PLOS ONE paper : Gaumont N, Panahi M, Chavalarias D (2018) Reconst...
General Information This contains the observational data for the publication: Tokita, Guess, and ...
Funding Information: This research is part of the ECANET-consortium (Echo Chambers, Experts and Acti...
© Springer International Publishing Switzerland 2016.We present a novel approach to analyze and visu...
This database provides the data used for a study into the debate on Black Pete ("Zwarte Pete") in th...
Political polarization has become a global phenomenon, affecting democratic societies in various way...
Quantifying the amount of polarization is crucial for understanding and studying political polarizat...
This is the training data used to produce the results shown in the paper listed below. Source: Sa...
Publisher Copyright: © 2021 The Author(s)Prior research shows that public opinion on climate politic...
<p>This paper introduces a novel network, the co-retweeted network, that is constructed as the undir...
Funding Information: We thank Risto Kunelius, Boyoon Lee, Kevin Reuning, Pertti Vehkalahti, and part...
This article explores the issue of political polarization on social media. It shows that the intensi...
Homophily, the tendency of people to have ties with those who are similar, is a fundamental pattern ...
Social media platforms have emerged as a hub for political and social interactions, and analyzing th...
This paper presents unsupervised algorithms to uncover polarization in social networks (namely, Twit...
These are the data related to the PLOS ONE paper : Gaumont N, Panahi M, Chavalarias D (2018) Reconst...
General Information This contains the observational data for the publication: Tokita, Guess, and ...
Funding Information: This research is part of the ECANET-consortium (Echo Chambers, Experts and Acti...
© Springer International Publishing Switzerland 2016.We present a novel approach to analyze and visu...
This database provides the data used for a study into the debate on Black Pete ("Zwarte Pete") in th...
Political polarization has become a global phenomenon, affecting democratic societies in various way...
Quantifying the amount of polarization is crucial for understanding and studying political polarizat...
This is the training data used to produce the results shown in the paper listed below. Source: Sa...
Publisher Copyright: © 2021 The Author(s)Prior research shows that public opinion on climate politic...
<p>This paper introduces a novel network, the co-retweeted network, that is constructed as the undir...
Funding Information: We thank Risto Kunelius, Boyoon Lee, Kevin Reuning, Pertti Vehkalahti, and part...
This article explores the issue of political polarization on social media. It shows that the intensi...
Homophily, the tendency of people to have ties with those who are similar, is a fundamental pattern ...
Social media platforms have emerged as a hub for political and social interactions, and analyzing th...
This paper presents unsupervised algorithms to uncover polarization in social networks (namely, Twit...
These are the data related to the PLOS ONE paper : Gaumont N, Panahi M, Chavalarias D (2018) Reconst...