Evidence map›Paper›PMID 38060564›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Socioeconomic reorganization of communication and mobility networks in response to external shocks.

Ludovico Napoli, Vedran Sekara, Manuel García-Herranz, Márton Karsai

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mixing individual and collective behaviors to predict out-of-routine mobility.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ludovico NapoliDepartment of Network and Data Science, Central European University, Vienna 110 Austria.ORCID 0009-0001-0847-5727
Vedran SekaraDepartment of Computer Science, Information Technology, University of Copenaghen, Copenhagen 2300, Denmark.ORCID 0000-0003-4490-3757
Manuel García-HerranzFrontier Data Tech Unit, Chief Data Office, United Nations International Children's Emergency Fund, New York, NY 10017.ORCID 0000-0002-4252-4975
Márton KarsaiDepartment of Network and Data Science, Central European University, Vienna 110 Austria.ORCID 0000-0001-5382-8950

Funding

Agence Nationale de la Recherche (ANR) ANR-19-CE46-0008Austrian Science Fund (FWF) I 5205-NEC | Horizon 2020 Framework Programme (H2020) H2020-871042
6 · The paper itself

Abstract

Socioeconomic segregation patterns in networks usually evolve gradually, yet they can change abruptly in response to external shocks. The recent COVID-19 pandemic and the subsequent government policies induced several interruptions in societies, potentially disadvantaging the socioeconomically most vulnerable groups. Using large-scale digital behavioral observations as a natural laboratory, here we analyze how lockdown interventions lead to the reorganization of socioeconomic segregation patterns simultaneously in communication and mobility networks in Sierra Leone. We find that while segregation in mobility clearly increased during lockdown, the social communication network reorganized into a less segregated configuration as compared to reference periods. Moreover, due to differences in adaption capacities, the effects of lockdown policies varied across socioeconomic groups, leading to different or even opposite segregation patterns between the lower and higher socioeconomic classes. Such secondary effects of interventions need to be considered for better and more equitable policies.

Indexed as

COVID-19Social SegregationHumansPandemicsSierra LeoneSocioeconomic FactorsCOVID-19mobile phone datamobilitysocial networkssocioeconomic segregation

Identifiers

PMID38060564
PMCPMC10723118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.