TY - JOUR
T1 - Complex networks with tuneable spectral dimension as a universality playground
AU - Millán, Ana P.
AU - Gori, Giacomo
AU - Battiston, Federico
AU - Enss, Tilman
AU - Defenu, Nicolò
N1 - Publisher Copyright:
© 2021 authors.
PY - 2021/4/5
Y1 - 2021/4/5
N2 - Universality is one of the key concepts in understanding critical phenomena. However, for interacting inhomogeneous systems described by complex networks, a clear understanding of the relevant parameters for universality is still missing. Here we discuss the role of a fundamental network parameter for universality, the spectral dimension. For this purpose, we construct a complex network model where the probability of a bond between two nodes is proportional to a power law of the nodes' distances. By explicit computation we prove that the spectral dimension for this model can be tuned continuously from 1 to infinity, and we discuss related network connectivity measures. We propose our model as a tool to probe universal behavior on inhomogeneous structures and comment on the possibility that the universal behavior of correlated models on such networks mimics the one of continuous field theories in fractional Euclidean dimensions.
AB - Universality is one of the key concepts in understanding critical phenomena. However, for interacting inhomogeneous systems described by complex networks, a clear understanding of the relevant parameters for universality is still missing. Here we discuss the role of a fundamental network parameter for universality, the spectral dimension. For this purpose, we construct a complex network model where the probability of a bond between two nodes is proportional to a power law of the nodes' distances. By explicit computation we prove that the spectral dimension for this model can be tuned continuously from 1 to infinity, and we discuss related network connectivity measures. We propose our model as a tool to probe universal behavior on inhomogeneous structures and comment on the possibility that the universal behavior of correlated models on such networks mimics the one of continuous field theories in fractional Euclidean dimensions.
UR - http://www.scopus.com/inward/record.url?scp=85105543596&partnerID=8YFLogxK
U2 - 10.1103/PhysRevResearch.3.023015
DO - 10.1103/PhysRevResearch.3.023015
M3 - Article
AN - SCOPUS:85105543596
SN - 2643-1564
VL - 3
JO - Physical Review Research
JF - Physical Review Research
IS - 2
M1 - 023015
ER -