Evidence map›Paper›PMID 39263067›Full record

ArticleHeliyon2024

Evidence of the digital nomad phenomenon: From "Reinventing" migration theory to destination countries readiness.

Mohammad Thoriq Bahri

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Mohammad Thoriq BahriFaculty of Law and Political Sciences, University of Szeged, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This research focuses on identifying the characteristics of the digital nomad phenomenon, which is growing increasingly prevalent today. This study aims to bridge the gap between the findings of the digital nomad data analysis (from the direction of movement, responses, and sentiment of society) and the existing migration theories. Method: Using qualitative method, this study employs a qualitative analysis performed with the Social Network Analysis (SNA) to calculate the betweness centrality of 1394 tweets gathered between April and October 2019 from the X, when this phenomenon was a top concern on numerous platforms. The analysis has been rendered by using software tools like NodeXL and Gephi. Results: The analysis of the #digitalnomad conversation network reveals several key findings: influential users, identified through betweenness centrality, significantly shape the discourse, with @thenomadeconomy, @socialhackettes, @francismarkme, @tdg_bnb, and @ryanbiddulph emerging as primary opinion leaders. Migration patterns show a predominant flow from "Global North" to "Global South" countries, with popular destinations including Bali, Phuket, and Madrid, contrasting with traditional migration theories emphasizing south-to-north movement. Sentiment analysis indicates a predominantly positive attitude towards digital nomadism, with 1662 positive mentions compared to 383 negative ones. These insights underscore the evolving nature of digital nomadism and highlight the significant influence of social media in driving migration trends and shaping perceptions. Conclusion: this study utilizing Social Network Analysis (SNA) identifies influential users shaping the discourse around the digital nomad phenomenon, revealing migration patterns from "Global North" to "Global South" countries contrary to traditional theories. The sentiment analysis reflects a predominantly positive attitude towards digital nomadism, underscoring the significant influence of social media in driving migration trends and shaping perceptions.

Indexed as

Big dataDigital nomadInternational migrationMigration theorySNA analysis

Identifiers

PMID39263067
PMCPMC11387329

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.