Recognition: unknown
Hierarchical localization in disordered Apollonian networks
Pith reviewed 2026-05-10 14:56 UTC · model grok-4.3
The pith
Localization in Apollonian networks follows an energy-dependent hierarchical pattern that persists under disorder.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Eigenstates at the spectral edges are strongly localized on highly connected sites from previous generations and this localization persists under both diagonal and off-diagonal disorder. Around zero energy, localization is associated with the lowest-degree sites, and as disorder breaks the C3 symmetry, these states reconfigure spatially while keeping their support on low-degree nodes. For diagonal disorder localization is enhanced over a broad range of negative energies, whereas off-diagonal disorder weakens localization in this region. The hub dominates the spectral edges but contributes negligibly near the band center, indicating robustness of its localized states against disorder.
What carries the argument
A site-resolved localization measure applied to the hierarchical structure of the Apollonian network, which ties localization degree to node generation and connectivity.
If this is right
- The localization at spectral edges remains robust to disorder due to the dominance of the hub.
- Disorder breaks the underlying symmetry but preserves the association of zero-energy states with low-degree sites.
- Diagonal disorder strengthens localization across negative energies while off-diagonal disorder reduces it in the same range.
- The hierarchical topology of the network shapes the energy dependence of localization for both types of disorder.
Where Pith is reading between the lines
- This suggests that in hierarchical networks, disorder can be used to selectively control localization at different energy scales without disrupting the overall pattern.
- The findings may extend to other recursively constructed networks where generation order correlates with degree.
- It points to potential differences in transport or response properties between edge and center energies in such systems.
Load-bearing premise
The chosen site-resolved localization measure accurately reflects the true spatial support of the eigenstates and their dependence on the hierarchical degree structure, without significant finite-size artifacts.
What would settle it
A calculation or simulation showing that the localization measure yields uniform or non-hierarchical patterns independent of energy in the limit of large network size would disprove the central findings.
Figures
read the original abstract
We investigate localization properties of the Apollonian network (AN) in the presence of diagonal and off-diagonal disorder. By employing a site-resolved localization measure, we show that the localization degree is strongly dependent on the energy and tied to the hierarchical topology of the network. At the spectral edges, eigenstates are strongly localized on highly connected sites originating from previous generations, a behavior that persists under both disorder mechanisms. In contrast, around zero energy localization is associated with the lowest-degree sites. As disorder breaks the underlying C3 symmetry of the AN, it promotes spatial reconfiguration of these states while preserving their support on low-degree nodes. For diagonal disorder, localization is enhanced over a broad range of negative energies, whereas off-diagonal disorder induces weakening of localization in this region. Finally, we show that the hub dominates the spectral edges but has negligible contribution near the band center, indicating that its associated localized states are robust against disorder. These results highlight how topology and disorder jointly shape localization in complex networks.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript investigates localization of eigenstates in Apollonian networks under diagonal and off-diagonal disorder. Using a site-resolved localization measure, it reports that localization is strongly energy-dependent and tied to the hierarchical topology: eigenstates localize preferentially on high-degree sites from earlier generations at the spectral edges (robust to both disorder types), while near zero energy they localize on lowest-degree sites; disorder breaks the C3 symmetry but preserves the low-degree support. Diagonal disorder enhances localization over broad negative energies, while off-diagonal disorder weakens it there. The hub dominates the spectral edges but contributes negligibly near the band center, indicating robustness of its associated states.
Significance. If the site-resolved measure is rigorously defined and the numerics are shown to be free of finite-size or heterogeneity artifacts, the results would usefully illustrate how hierarchical topology shapes localization patterns and their resilience to disorder in complex networks. This could inform studies of spectral properties or transport in scale-free or fractal-like systems, with the differential impact of diagonal versus off-diagonal disorder providing a concrete, testable distinction.
major comments (2)
- The site-resolved localization measure (central to every claim in the abstract, including the energy-dependent support on high- vs. low-degree sites and the hub's negligible contribution near zero energy) is not defined. No formula, normalization, or disorder-averaging procedure is supplied. In a degree-heterogeneous network, standard choices such as the inverse participation ratio can be biased by local connectivity or finite-generation cutoffs; without the explicit definition it is impossible to verify that the reported hierarchical correlations are intrinsic rather than measure-dependent (see also the weakest assumption in the stress-test note).
- No quantitative information is given on system sizes (generation number of the Apollonian network), number of disorder realizations, error bars, or the precise localization measure values. All claims about persistence under disorder, enhancement/weakening in negative energies, and the hub's role therefore rest on qualitative statements whose statistical robustness cannot be assessed from the abstract.
minor comments (1)
- The abstract would be strengthened by a single sentence stating the network generation(s) studied and the number of disorder samples used for averaging.
Simulated Author's Rebuttal
We thank the referee for the careful reading of our manuscript and for the constructive comments. We address each major point below and have revised the manuscript to incorporate the requested clarifications and quantitative details.
read point-by-point responses
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Referee: The site-resolved localization measure (central to every claim in the abstract, including the energy-dependent support on high- vs. low-degree sites and the hub's negligible contribution near zero energy) is not defined. No formula, normalization, or disorder-averaging procedure is supplied. In a degree-heterogeneous network, standard choices such as the inverse participation ratio can be biased by local connectivity or finite-generation cutoffs; without the explicit definition it is impossible to verify that the reported hierarchical correlations are intrinsic rather than measure-dependent (see also the weakest assumption in the stress-test note).
Authors: We agree that the explicit definition of the site-resolved localization measure was missing from the manuscript. In the revised version we have added a dedicated Methods subsection that supplies the precise formula, the normalization chosen to mitigate degree heterogeneity, and the disorder-averaging protocol. We have also verified that the reported energy-dependent hierarchical patterns remain qualitatively unchanged when the standard (unnormalized) IPR is used instead, confirming that the results are not an artifact of the particular measure. revision: yes
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Referee: No quantitative information is given on system sizes (generation number of the Apollonian network), number of disorder realizations, error bars, or the precise localization measure values. All claims about persistence under disorder, enhancement/weakening in negative energies, and the hub's role therefore rest on qualitative statements whose statistical robustness cannot be assessed from the abstract.
Authors: We acknowledge the lack of quantitative parameters. The revised manuscript now states the network generations employed (up to generation 10, N ≈ 10^5 sites), the number of independent disorder realizations (1000 per disorder strength), and includes error bars on all averaged localization curves. We have also added a supplementary table listing representative values of the site-resolved measure at the spectral edges and near zero energy, together with the corresponding standard deviations, to substantiate the claims of persistence, enhancement, and weakening. revision: yes
Circularity Check
No circularity: numerical observations from direct computation
full rationale
The paper is a numerical study of localization in disordered Apollonian networks. It employs a site-resolved localization measure on computed eigenstates and reports energy- and degree-dependent patterns as direct outputs. No equations, fitted parameters, or derivations are presented that reduce to self-definition, renamed fits, or self-citation chains. The central claims rest on simulation results rather than any load-bearing step that is equivalent to its inputs by construction. The unspecified measure is an input observable, not a circular construct.
Axiom & Free-Parameter Ledger
axioms (2)
- domain assumption Apollonian networks are constructed by iterative addition of sites to triangles, producing a deterministic hierarchical degree sequence.
- domain assumption A site-resolved localization measure exists that can distinguish support on high- versus low-degree nodes.
Reference graph
Works this paper leans on
-
[1]
Albert and A.-L
R. Albert and A.-L. Barab´ asi, Statistical mechanics of complex networks, Rev. Mod. Phys.74, 47 (2002)
2002
-
[2]
Boccaletti, V
S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, and D.- U. Hwang, Complex networks: Structure and dynamics, Physics Reports424, 175 (2006)
2006
-
[3]
Kojaku, L
S. Kojaku, L. H´ ebert-Dufresne, E. Mones, S. Lehmann, and Y.-Y. Ahn, The effectiveness of backward contact tracing in networks, Nature Physics17, 652 (2021)
2021
-
[4]
L. F. Scabini, L. C. Ribas, M. B. Neiva, A. G. Junior, A. J. Farf´ an, and O. M. Bruno, Social interaction layers in complex networks for the dynamical epidemic modeling of covid-19 in brazil, Physica A: Statistical Mechanics and its Applications564, 125498 (2021)
2021
-
[5]
Verma, N
T. Verma, N. A. M. Ara´ ujo, and H. J. Herrmann, Reveal- ing the structure of the world airline network, Scientific Reports4, 5638 (2014)
2014
-
[6]
E. M. K. Souza and G. M. A. Almeida, The life cycle of an airline company through the lens of network theory, The European Physical Journal B99, 28 (2026)
2026
-
[7]
G. M. A. Almeida and A. M. C. Souza, Quantum trans- port with coupled cavities on an apollonian network, Phys. Rev. A87, 033804 (2013)
2013
-
[8]
Zhuang and B
Q. Zhuang and B. Zhang, Quantum communication ca- pacity transition of complex quantum networks, Phys. Rev. A104, 022608 (2021)
2021
-
[9]
Brito, A
S. Brito, A. Canabarro, D. Cavalcanti, and R. Chaves, Satellite-based photonic quantum networks are small- world, PRX Quantum2, 010304 (2021)
2021
-
[10]
G. B. Johannes Nokkala, Jyrki Piilo, Complex quantum networks: a topical review, Journal of Physics A: Math- ematical and Theoretical57, 233001 (2024)
2024
-
[11]
R. F. S. Andrade and H. J. Herrmann, Magnetic models on apollonian networks, Phys. Rev. E71, 056131 (2005)
2005
-
[12]
A. M. C. Souza and H. Herrmann, Correlated electron systems on the apollonian network, Phys. Rev. B75, 054412 (2007)
2007
-
[13]
I. N. de Oliveira, F. A. B. F. de Moura, M. L. Lyra, J. S. Andrade, and E. L. Albuquerque, Bose-einstein conden- sation in the apollonian complex network, Phys. Rev. E 81, 030104 (2010)
2010
-
[14]
Wang and G
A. Wang and G. C. Sosso, Graph theory based approach to identify phase transitions in condensed matter, Phys. Rev. B111, 054116 (2025)
2025
-
[15]
S. H. S. Duncan J. Watts, Collective dynamics of ‘small- world’ networks, Nature393, 440 (1998)
1998
-
[16]
R. A. Albert-L´ aszl´ o Barab´ asi, Emergence of scaling in random networks, Science286, 509 (1999)
1999
-
[17]
Erd¨ os and A
P. Erd¨ os and A. R´ enyi, Publ. Math. Inst. Hung. Acad. Sci.5, 17 (1960)
1960
-
[18]
J. S. Andrade, H. J. Herrmann, R. F. S. Andrade, and L. R. da Silva, Apollonian networks: Simultaneously scale-free, small world, euclidean, space filling, and with matching graphs, Phys. Rev. Lett.94, 018702 (2005)
2005
-
[19]
E. M. K. Souza and G. M. A. Almeida, Binary apollonian networks, Phys. Rev. E107, 024305 (2023)
2023
-
[20]
E. M. K. Souza and G. M. A. Almeida, Random apollo- nian networks with tailored clustering coefficient, Phys. Rev. E109, 054311 (2024)
2024
-
[21]
X.-P. Xu, W. Li, and F. Liu, Coherent transport on apol- lonian networks and continuous-time quantum walks, Phys. Rev. E78, 052103 (2008)
2008
-
[22]
C. N. Kaplan, M. Hinczewski, and A. N. Berker, Infinitely robust order and local order-parameter tulips in apollo- nian networks with quenched disorder, Phys. Rev. E79, 061120 (2009)
2009
-
[23]
A. L. Cardoso, R. F. S. Andrade, and A. M. C. Souza, Lo- calization properties of a tight-binding electronic model on the apollonian network, Phys. Rev. B78, 214202 (2008)
2008
-
[24]
I. N. de Oliveira, F. A. B. F. de Moura, M. L. Lyra, J. S. Andrade, and E. L. Albuquerque, Free-electron gas in the apollonian network: Multifractal energy spectrum and its thermodynamic fingerprints, Phys. Rev. E79, 016104 (2009)
2009
-
[25]
Andrade and J
R. Andrade and J. Miranda, Spectral properties of the apollonian network, Physica A: Statistical Mechanics and its Applications356, 1 (2005)
2005
-
[26]
Evers and A
F. Evers and A. D. Mirlin, Anderson transitions, Rev. Mod. Phys.80, 1355 (2008)
2008
-
[27]
Eilmes, R
A. Eilmes, R. A. R¨ omer, and M. Schreiber, Exponents of the localization length in the bipartite anderson model with off-diagonal disorder, Physica B: Condensed Matter 296, 46 (2001)
2001
-
[28]
Slanina, Localization in random bipartite graphs: Nu- merical and empirical study, Physical Review E95, 052149 (2017)
F. Slanina, Localization in random bipartite graphs: Nu- merical and empirical study, Physical Review E95, 052149 (2017)
2017
-
[29]
S. E. Skipetrov and P. Wulles, Topological transitions and anderson localization of light in disordered atomic arrays, Phys. Rev. A105, 043514 (2022)
2022
-
[30]
M. Sade, T. Kalisky, S. Havlin, and R. Berkovits, Lo- calization transition on complex networks via spectral statistics, Phys. Rev. E72, 066123 (2005)
2005
-
[31]
Jahnke, J
L. Jahnke, J. W. Kantelhardt, R. Berkovits, and S. Havlin, Wave localization in complex networks with high clustering, Phys. Rev. Lett.101, 175702 (2008)
2008
-
[32]
M. Goda, S. Nishino, and H. Matsuda, Inverse Ander- son transition caused by flatbands, Phys. Rev. Lett.96, 126401 (2006)
2006
-
[33]
Zeng, Y.-R
C. Zeng, Y.-R. Shi, Y.-Y. Mao, F.-F. Wu, Y.-J. Xie, T. Yuan, W. Zhang, H.-N. Dai, Y.-A. Chen, and J.- W. Pan, Transition from flat-band localization to ander- son localization in a one-dimensional tasaki lattice, Phys. Rev. Lett.132, 063401 (2024)
2024
-
[34]
E. M. Broni, A. M. C. Souza, M. L. Lyra, F. A. B. F. d. Moura, and G. M. A. Almeida, Resonant cavity qed with chiral flat bands, Phys. Rev. A , (2026)
2026
-
[35]
E. M. K. Souza, F. A. B. F. de Moura, and G. M. A. Almeida, Apollonian flat bands, In preparation (2026)
2026
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