---
_id: '993'
abstract:
- lang: eng
  text: In real-world applications, observations are often constrained to a small
    fraction of a system. Such spatial subsampling can be caused by the inaccessibility
    or the sheer size of the system, and cannot be overcome by longer sampling. Spatial
    subsampling can strongly bias inferences about a system’s aggregated properties.
    To overcome the bias, we derive analytically a subsampling scaling framework that
    is applicable to different observables, including distributions of neuronal avalanches,
    of number of people infected during an epidemic outbreak, and of node degrees.
    We demonstrate how to infer the correct distributions of the underlying full system,
    how to apply it to distinguish critical from subcritical systems, and how to disentangle
    subsampling and finite size effects. Lastly, we apply subsampling scaling to neuronal
    avalanche models and to recordings from developing neural networks. We show that
    only mature, but not young networks follow power-law scaling, indicating self-organization
    to criticality during development.
article_number: '15140'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Anna
  full_name: Levina (Martius), Anna
  id: 35AF8020-F248-11E8-B48F-1D18A9856A87
  last_name: Levina (Martius)
- first_name: Viola
  full_name: Priesemann, Viola
  last_name: Priesemann
citation:
  ama: Levina (Martius) A, Priesemann V. Subsampling scaling. <i>Nature Communications</i>.
    2017;8. doi:<a href="https://doi.org/10.1038/ncomms15140">10.1038/ncomms15140</a>
  apa: Levina (Martius), A., &#38; Priesemann, V. (2017). Subsampling scaling. <i>Nature
    Communications</i>. Nature Publishing Group. <a href="https://doi.org/10.1038/ncomms15140">https://doi.org/10.1038/ncomms15140</a>
  chicago: Levina (Martius), Anna, and Viola Priesemann. “Subsampling Scaling.” <i>Nature
    Communications</i>. Nature Publishing Group, 2017. <a href="https://doi.org/10.1038/ncomms15140">https://doi.org/10.1038/ncomms15140</a>.
  ieee: A. Levina (Martius) and V. Priesemann, “Subsampling scaling,” <i>Nature Communications</i>,
    vol. 8. Nature Publishing Group, 2017.
  ista: Levina (Martius) A, Priesemann V. 2017. Subsampling scaling. Nature Communications.
    8, 15140.
  mla: Levina (Martius), Anna, and Viola Priesemann. “Subsampling Scaling.” <i>Nature
    Communications</i>, vol. 8, 15140, Nature Publishing Group, 2017, doi:<a href="https://doi.org/10.1038/ncomms15140">10.1038/ncomms15140</a>.
  short: A. Levina (Martius), V. Priesemann, Nature Communications 8 (2017).
date_created: 2018-12-11T11:49:35Z
date_published: 2017-05-04T00:00:00Z
date_updated: 2023-09-22T09:54:07Z
day: '04'
ddc:
- '005'
- '571'
department:
- _id: GaTk
- _id: JoCs
doi: 10.1038/ncomms15140
ec_funded: 1
external_id:
  isi:
  - '000400560700001'
file:
- access_level: open_access
  checksum: 9880212f8c4c53404c7c6fbf9023c53a
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:15:05Z
  date_updated: 2020-07-14T12:48:19Z
  file_id: '5122'
  file_name: IST-2017-819-v1+1_2017_Levina_SubsamplingScaling.pdf
  file_size: 746224
  relation: main_file
file_date_updated: 2020-07-14T12:48:19Z
has_accepted_license: '1'
intvolume: '         8'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '291734'
  name: International IST Postdoc Fellowship Programme
publication: Nature Communications
publication_identifier:
  issn:
  - '20411723'
publication_status: published
publisher: Nature Publishing Group
publist_id: '6406'
pubrep_id: '819'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Subsampling scaling
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2017'
...