Clustering of Twitter Networks Based on Users' Structural Profile
Por:
Flores-Garrido, Marisol, García-Velázquez L.M., Cortez-Madrigal R.S.
Publicada:
1 ene 2022
Resumen:
Twitter's ability to connect users around a given topic provides an
insight into the complex mechanisms that grant positions of influence to
a subset of users. This work focuses on clustering a collection of
Twitter topic networks through an interpretable approach centered on the
asymmetric relations on the platform. We create a network representation
based on directed graphlet-orbits, using graphlets with 2-4 nodes. Our
method has two main steps; first, we identify structural profiles for
the network users. Then, we create network embeddings using the previous
profiles and establish groups within the collection. We show the
applicability of the proposed method by analyzing 50 real networks
generated around trending topics in Mexico and discussing the identified
user profiles from the viewpoint of the social power dynamics they
reflect.
Filiaciones:
Flores-Garrido, Marisol:
Escuela Nacional de Estudios Superiores unidad Morelia, Universidad Nacional Autónoma de México, Antigua carretera a Pátzcuaro No. 8701, Michoacán, Morelia, C.P. 58190, Mexico
García-Velázquez L.M.:
Escuela Nacional de Estudios Superiores unidad Morelia, Universidad Nacional Autónoma de México, Antigua carretera a Pátzcuaro No. 8701, Michoacán, Morelia, C.P. 58190, Mexico
Cortez-Madrigal R.S.:
Escuela Nacional de Estudios Superiores unidad Morelia, Universidad Nacional Autónoma de México, Antigua carretera a Pátzcuaro No. 8701, Michoacán, Morelia, C.P. 58190, Mexico
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