Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model

doi:doi:10.57702/dixchoyi

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model

The dataset is used to evaluate the performance of the Signed Latent Distance Model (SLDM) and the Signed Latent Relational Distance Model (SLIM) on four real signed networks of polarization.

BibTex:

@dataset{Nikolaos_Nakis_and_Abdulkadir_C¸_elikkanat_and_Louis_Boucherie_and_Christian_Djurhuus_and_Felix_Burmester_and_Daniel_Mathias_Holmelund_and_Monika_Frolcov´a_and_Morten_Mørup_2024,
    abstract = {The dataset is used to evaluate the performance of the Signed Latent Distance Model (SLDM) and the Signed Latent Relational Distance Model (SLIM) on four real signed networks of polarization.},
    author = {Nikolaos Nakis and Abdulkadir C¸ elikkanat and Louis Boucherie and Christian Djurhuus and Felix Burmester and Daniel Mathias Holmelund and Monika Frolcov´a and Morten Mørup},
    doi = {10.57702/dixchoyi},
    institution = {No Organization},
    keyword = {'Latent Distance Model', 'Polarization Analysis', 'Signed Networks'},
    month = {dec},
    publisher = {TIB},
    title = {Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model},
    url = {https://service.tib.eu/ldmservice/dataset/characterizing-polarization-in-social-networks-using-the-signed-relational-latent-distance-model},
    year = {2024}
}