Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 손승우 | - |
dc.date.accessioned | 2024-06-27T02:31:21Z | - |
dc.date.available | 2024-06-27T02:31:21Z | - |
dc.date.issued | 2022-12-15 | - |
dc.identifier.citation | PHYSICAL REVIEW E, v. 106, no 6, article no. 64309, page. 1-13 | en_US |
dc.identifier.issn | 2470-0053 | en_US |
dc.identifier.issn | 2470-0045 | en_US |
dc.identifier.uri | https://journals.aps.org/pre/abstract/10.1103/PhysRevE.106.064309 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/191015 | - |
dc.description.abstract | Perturbations made to networked systems may result in partial structural loss, such as a blackout in a powergrid system. Investigating the resulting disturbance in network properties is quintessential to understand real networks in action. The removal of nodes is a representative disturbance, but previous studies are seemingly contrasting about its effect on arguably the most fundamental network statistic, the degree distribution. The key question is about the functional form of the degree distributions that can be altered during node removal or sampling. The functional form is decisive in the remaining subnetwork's static and dynamical properties. In this work, we clarify the situation by utilizing the relative entropies with respect to the reference distributions in the Poisson and power-law form, to quantify the distance between the subnetwork's degree distribution and either of the reference distributions. Introducing general sequential node removal processes with continuously different levels of hub protection to encompass a series of scenarios including uniform random removal and preferred or protective (i.e., biased random) removal of the hub, we classify the altered degree distributions starting from various power-law forms by comparing two relative entropy values. From the extensive investigation in various scenarios based on direct node-removal simulations and by solving the rate equation of degree distributions, we discover in the parameter space two distinct regimes, one where the degree distribution is closer to the power-law reference distribution and the other closer to the Poisson distribution. | en_US |
dc.description.sponsorship | This work was supported by grants from the National Research Foundation of Korea (NRF) funded by the Korean Government [No. NRF-2021R1C1C1007918 (M.J.L.), No. NRF-2020R1A2C2003669 (K.-I.G.), No. NRF-2021R1C1C1004132 (S.H.L.), No. NRF-2020R1A2C2010875 (S.-W.S.), and No. NRF2019R1A2C1003486 (D.-S.L.)], and a KIAS Individual Grant (No. CG079901) from Korea Institute for Advanced Study (D.-S.L.). This work is supported by the Center for Advanced Computation at Korea Institute for Advanced Study. We acknowledge the hospitality at APCTP where part of this work was done (S.-W.S.). | en_US |
dc.language | en_US | en_US |
dc.publisher | AMER PHYSICAL SOC | en_US |
dc.relation.ispartofseries | v. 106, no 6, article no. 64309;1-13 | - |
dc.title | Degree distributions under general node removal: Power-law or Poisson? | en_US |
dc.type | Article | en_US |
dc.relation.no | 6 | - |
dc.relation.volume | 106 | - |
dc.identifier.doi | 10.1103/PhysRevE.106.064309 | en_US |
dc.relation.page | 64309-64309 | - |
dc.relation.journal | PHYSICAL REVIEW E | - |
dc.contributor.googleauthor | Lee, Mi Jin | - |
dc.contributor.googleauthor | Kim, Jung-Ho | - |
dc.contributor.googleauthor | Goh, Kwang-Il | - |
dc.contributor.googleauthor | Lee, Sang Hoon | - |
dc.contributor.googleauthor | Son, Seung-Woo | - |
dc.contributor.googleauthor | Lee, Deok-Sun | - |
dc.relation.code | 2022041309 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E] | - |
dc.sector.department | DEPARTMENT OF APPLIED PHYSICS | - |
dc.identifier.pid | sonswoo | - |
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