---
_id: '12548'
abstract:
- lang: eng
  text: The limited exchange between human communities is a key factor in preventing
    the spread of COVID-19. This paper introduces a digital framework that combines
    an integration of real mobility data at the country scale with a series of modeling
    techniques and visual capabilities that highlight mobility patterns before and
    during the pandemic. The findings not only significantly exhibit mobility trends
    and different degrees of similarities at regional and local levels but also provide
    potential insight into the emergence of a pandemic on human behavior patterns
    and their likely socio-economic impacts.
article_number: '00093'
article_processing_charge: No
author:
- first_name: Mohammad
  full_name: Forghani, Mohammad
  last_name: Forghani
- first_name: Christophe
  full_name: Claramunt, Christophe
  last_name: Claramunt
- first_name: Farid
  full_name: Karimipour, Farid
  id: 2A2BCDC4-CF62-11E9-BE5E-3B1EE6697425
  last_name: Karimipour
  orcid: 0000-0001-6746-4174
- first_name: Georg
  full_name: Heiler, Georg
  last_name: Heiler
citation:
  ama: 'Forghani M, Claramunt C, Karimipour F, Heiler G. Visual analytics of mobility
    network changes observed using mobile phone data during COVID-19 pandemic. In:
    <i>2022 IEEE International Conference on Data Mining Workshops</i>. Institute
    of Electrical and Electronics Engineers; 2023. doi:<a href="https://doi.org/10.1109/icdmw58026.2022.00093">10.1109/icdmw58026.2022.00093</a>'
  apa: 'Forghani, M., Claramunt, C., Karimipour, F., &#38; Heiler, G. (2023). Visual
    analytics of mobility network changes observed using mobile phone data during
    COVID-19 pandemic. In <i>2022 IEEE International Conference on Data Mining Workshops</i>.
    Orlando, FL, United States: Institute of Electrical and Electronics Engineers.
    <a href="https://doi.org/10.1109/icdmw58026.2022.00093">https://doi.org/10.1109/icdmw58026.2022.00093</a>'
  chicago: Forghani, Mohammad, Christophe Claramunt, Farid Karimipour, and Georg Heiler.
    “Visual Analytics of Mobility Network Changes Observed Using Mobile Phone Data
    during COVID-19 Pandemic.” In <i>2022 IEEE International Conference on Data Mining
    Workshops</i>. Institute of Electrical and Electronics Engineers, 2023. <a href="https://doi.org/10.1109/icdmw58026.2022.00093">https://doi.org/10.1109/icdmw58026.2022.00093</a>.
  ieee: M. Forghani, C. Claramunt, F. Karimipour, and G. Heiler, “Visual analytics
    of mobility network changes observed using mobile phone data during COVID-19 pandemic,”
    in <i>2022 IEEE International Conference on Data Mining Workshops</i>, Orlando,
    FL, United States, 2023.
  ista: 'Forghani M, Claramunt C, Karimipour F, Heiler G. 2023. Visual analytics of
    mobility network changes observed using mobile phone data during COVID-19 pandemic.
    2022 IEEE International Conference on Data Mining Workshops. ICDMW: Conference
    on Data Mining Workshops, 00093.'
  mla: Forghani, Mohammad, et al. “Visual Analytics of Mobility Network Changes Observed
    Using Mobile Phone Data during COVID-19 Pandemic.” <i>2022 IEEE International
    Conference on Data Mining Workshops</i>, 00093, Institute of Electrical and Electronics
    Engineers, 2023, doi:<a href="https://doi.org/10.1109/icdmw58026.2022.00093">10.1109/icdmw58026.2022.00093</a>.
  short: M. Forghani, C. Claramunt, F. Karimipour, G. Heiler, in:, 2022 IEEE International
    Conference on Data Mining Workshops, Institute of Electrical and Electronics Engineers,
    2023.
conference:
  end_date: 2022-12-01
  location: Orlando, FL, United States
  name: 'ICDMW: Conference on Data Mining Workshops'
  start_date: 2022-11-28
date_created: 2023-02-14T07:56:21Z
date_published: 2023-02-08T00:00:00Z
date_updated: 2023-08-01T13:15:48Z
day: '08'
ddc:
- '600'
department:
- _id: HeEd
doi: 10.1109/icdmw58026.2022.00093
external_id:
  isi:
  - '000971492200145'
file:
- access_level: open_access
  checksum: c253bee25e6dfe484f96662daa119cb6
  content_type: application/pdf
  creator: fkarimip
  date_created: 2023-02-14T07:58:26Z
  date_updated: 2023-02-14T07:58:26Z
  file_id: '12549'
  file_name: Visual Analysis_Mobility_COVID19 - SocDM2022.pdf
  file_size: 1183339
  relation: main_file
  success: 1
file_date_updated: 2023-02-14T07:58:26Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '02'
oa: 1
oa_version: Submitted Version
publication: 2022 IEEE International Conference on Data Mining Workshops
publication_identifier:
  eisbn:
  - '9798350346091'
  eissn:
  - 2375-9259
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
status: public
title: Visual analytics of mobility network changes observed using mobile phone data
  during COVID-19 pandemic
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2023'
...