Evidence map›Paper›PMID 38024411›Full record

ArticlePNAS nexus2023

Emergency communications after earthquake reveal social network backbone of important ties.

Jayson S Jia, Yiwei Li, Sheng Liu, Nicholas A Christakis, Jianmin Jia

Abstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jayson S JiaFaculty of Business and Economics, The University of Hong Kong, Hong Kong SAR, China.
Yiwei LiDepartment of Marketing & International Business, Faculty of Business, Lingnan University, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-5358-9320
Sheng LiuDepartment of Marketing & International Business, Faculty of Business, Lingnan University, Hong Kong SAR, China.
Nicholas A ChristakisYale Institute for Network Science, Yale University, New Haven, CT 06520, USA.ORCID https://orcid.org/0000-0001-5547-1086
Jianmin JiaShenzhen Finance Institute, School of Management and Economics, The Chinese University of Hong Kong, Shenzhen, China.ORCID https://orcid.org/0000-0002-3645-6857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social networks provide a basis for collective resilience to disasters. Combining the quasi-experimental context of a major earthquake in Ya'an, China, with anonymized mobile telecommunications records regarding 91,839 Ya'an residents, we use initial bursts of postdisaster communications (e.g. choice of alter, order of calls, and latency) to reveal the "important ties" that form the social network backbone. We find that only 26.8% of important ties activated during the earthquake were the strongest ties during normal times. Many important ties were hitherto latent and weak, only to become persistent and strong after the earthquake. We show that which ties activated during a sudden disaster are best predicted by the interaction of embeddedness and tie strength. Moreover, a backbone of important ties alone (without the inclusion of weak ties ordinarily seen as important to bridge communities) is sufficient to generate a hierarchical structure of social networks that connect a disaster zone's disparate communities.

Indexed as

earthquake disasterquasi-experimentsocial network activationstructural embeddednesstie strength

Identifiers

PMID38024411
PMCPMC10658761

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.