Average trapping time on a half 3-level nested network

Abstract In this paper, we focus on a half nested network ( HS n ∘ N ), which is the left half of nested network ( S n ∘ N ) based on the vertical cutting of symmetry axis. We study the capture problem of unbiased random walk on HS n ∘ N . Further, the change in diffusion efficiency between HS n ∘ N and S n ∘ N is studied. According to the self-similarity of the network, the analytical expression of the average trapping time of HS n ∘ N is obtained. In addition, we draw the relevant numerical simulation diagram. By comparing the growth trend of the two curves, we find that with the increase of the number of network iterations, the average trapping time of HS n ∘ N does not change much compared with S n ∘ N . It indicates that the diffusion efficiency of the network after vertical cutting is not affected much at large scale.

Authors

Institutions

Publication Details

Journal
Physica Scripta
Published
2025-03-13
DOI
https://doi.org/10.1088/1402-4896/adc046
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Average trapping time on a half 3-level nested network

Yizhou Shen, Yu Sun
Physica Scripta
Quantum Information and Cryptography
article

Average trapping time on a half 3-level nested network

Yizhou Shen, Yu Sun
article en

Abstract

Abstract In this paper, we focus on a half nested network ( HS n ∘ N ), which is the left half of nested network ( S n ∘ N ) based on the vertical cutting of symmetry axis. We study the capture problem of unbiased random walk on HS n ∘ N . Further, the change in diffusion efficiency between HS n ∘ N and S n ∘ N is studied. According to the self-similarity of the network, the analytical expression of the average trapping time of HS n ∘ N is obtained. In addition, we draw the relevant numerical simulation diagram. By comparing the growth trend of the two curves, we find that with the increase of the number of network iterations, the average trapping time of HS n ∘ N does not change much compared with S n ∘ N . It indicates that the diffusion efficiency of the network after vertical cutting is not affected much at large scale.

Physica ScriptaVol. 100(4)
Jiangsu University (CN)
Openalex Percentile: Top 98%
Quantum Information and Cryptography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.