TY - CHAP
T1 - Local Pluralistic Homophily in Networks
T2 - 11th Conference on Cloud Computing, Big Data and Emerging Topics, JCC-BD and ET 2023
AU - Barraza, Fernando
AU - Ramirez Ovalle, Carlos Ernesto
AU - Fernández, Alejandro
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Pluralistic homophily is an important phenomenon in social network analysis as nodes tend to associate with others that share their same communities. In this work, we present the concept of local pluralistic homophily of a node in a network, along with a method to measure it. It is based on the assortativity index proposed by other authors. We analyze the distribution of local pluralistic homophily in different networks using publicly available datasets. We identify patterns of behavior of the proposed measure that relate to various structural and topological characteristics of a network. These findings are significant because they help better understand how pluralistic homophily affects communities. Furthermore, our results suggest possible applications of local pluralistic homophily in future research.
AB - Pluralistic homophily is an important phenomenon in social network analysis as nodes tend to associate with others that share their same communities. In this work, we present the concept of local pluralistic homophily of a node in a network, along with a method to measure it. It is based on the assortativity index proposed by other authors. We analyze the distribution of local pluralistic homophily in different networks using publicly available datasets. We identify patterns of behavior of the proposed measure that relate to various structural and topological characteristics of a network. These findings are significant because they help better understand how pluralistic homophily affects communities. Furthermore, our results suggest possible applications of local pluralistic homophily in future research.
KW - Local Pluralistic Homophily
KW - Networks
KW - Communities
UR - http://www.scopus.com/inward/record.url?scp=85172097919&partnerID=8YFLogxK
UR - https://scholar.google.es/citations?view_op=view_citation&hl=es&user=KemkFP4AAAAJ&citation_for_view=KemkFP4AAAAJ:UeHWp8X0CEIC
UR - https://host170.sedici.unlp.edu.ar/server/api/core/bitstreams/a546e73b-8cdf-4877-9662-90f0d6d6d4bc/content
U2 - 10.1007/978-3-031-40942-4_6
DO - 10.1007/978-3-031-40942-4_6
M3 - Chapter
AN - SCOPUS:85172097919
SN - 9783031409417
T3 - Communications in Computer and Information Science
SP - 75
EP - 87
BT - Cloud Computing, Big Data and Emerging Topics - 11th Conference, JCC-BD and ET 2023, Proceedings
A2 - Naiouf, Marcelo
A2 - Rucci, Enzo
A2 - Chichizola, Franco
A2 - De Giusti, Laura
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 27 June 2023 through 29 June 2023
ER -