Evidence map›Paper›PMID 34640717›Full record

ArticleSensors (Basel, Switzerland)2021

How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing.

Michele Girolami, Dimitri Belli, Stefano Chessa, Luca Foschini

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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

4 authors.

Michele GirolamiInstitute of Information Science and Technologies (ISTI-CNR), 56124 Pisa, Italy.ORCID 0000-0002-3683-7158
Dimitri BelliInstitute of Information Science and Technologies (ISTI-CNR), 56124 Pisa, Italy.ORCID 0000-0003-1491-6450
Stefano ChessaInstitute of Information Science and Technologies (ISTI-CNR), 56124 Pisa, Italy.ORCID 0000-0002-1248-9478
Luca FoschiniDepartment of Computer Science and Engineering (DISI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0001-9062-3647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The possibility of understanding the dynamics of human mobility and sociality creates the opportunity to re-design the way data are collected by exploiting the crowd. We survey the last decade of experimentation and research in the field of mobile CrowdSensing, a paradigm centred on users' devices as the primary source for collecting data from urban areas. To this purpose, we report the methodologies aimed at building information about users' mobility and sociality in the form of ties among users and communities of users. We present two methodologies to identify communities: spatial and co-location-based. We also discuss some perspectives about the future of mobile CrowdSensing and its impact on four investigation areas: contact tracing, edge-based MCS architectures, digitalization in Industry 5.0 and community detection algorithms.

Indexed as

AlgorithmsSocial BehaviorHumansIIoTmobile CrowdSensingmobile edgenetwork mobility

Identifiers

PMID34640717
PMCPMC8512557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.