TY - JOUR
T1 - Emergence of multiplex communities in collaboration networks
AU - Battiston, Federico
AU - Iacovacci, Jacopo
AU - Nicosia, Vincenzo
AU - Bianconi, Ginestra
AU - Latora, Vito
N1 - Publisher Copyright:
© 2016 Battiston et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Community structures in collaboration networks reflect the natural tendency of individuals to organize their work in groups in order to better achieve common goals. Inmost of the cases, individuals exploit their connections to introduce themselves to new areas of interests, giving rise to multifaceted collaborations which span different fields. In this paper, we analyse collaborations in science and among movie actors as multiplex networks, where the layers represent respectively research topics and movie genres, and we show that communities indeed coexist and overlap at the different layers of such systems.We then propose a model to grow multiplex networks based on twomechanisms of intra and inter-layer triadic closure which mimic the real processes by which collaborations evolve.We show that our model is able to explain the multiplex community structure observed empirically, and we infer the strength of the two underlying social mechanisms from real-world systems. Being also able to correctly reproduce the values of intra-layer and inter-layer assortativity correlations, the model contributes to a better understanding of the principles driving the evolution of social networks.
AB - Community structures in collaboration networks reflect the natural tendency of individuals to organize their work in groups in order to better achieve common goals. Inmost of the cases, individuals exploit their connections to introduce themselves to new areas of interests, giving rise to multifaceted collaborations which span different fields. In this paper, we analyse collaborations in science and among movie actors as multiplex networks, where the layers represent respectively research topics and movie genres, and we show that communities indeed coexist and overlap at the different layers of such systems.We then propose a model to grow multiplex networks based on twomechanisms of intra and inter-layer triadic closure which mimic the real processes by which collaborations evolve.We show that our model is able to explain the multiplex community structure observed empirically, and we infer the strength of the two underlying social mechanisms from real-world systems. Being also able to correctly reproduce the values of intra-layer and inter-layer assortativity correlations, the model contributes to a better understanding of the principles driving the evolution of social networks.
UR - http://www.scopus.com/inward/record.url?scp=84958205910&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0147451
DO - 10.1371/journal.pone.0147451
M3 - Article
C2 - 26815700
AN - SCOPUS:84958205910
SN - 1932-6203
VL - 11
JO - PLoS ONE
JF - PLoS ONE
IS - 1
M1 - e0147451
ER -