The DOI matches its Crossref record.
Mobile Virtual Communities
Abstract
The adoption of mobile phone technology on a large scale in today’s societies turned mobile phones into a universal tool. Phone companies are deploying 3G mobile technology and planning for 4G; nevertheless, the “killer” applications are yet to be developed. Meanwhile, mobile virtual communities (MVCs) are emerging, and their applications are diverse: they range from education, to entertainment and lifestyle. Our vision is that mobile virtual communities will be a major trend and could create a momentum for 3G and 4G mobile phone applications. In this article we analyze the different types of mobile virtual communities, and we draw some research perspectives and applications.
Overview
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In the citing paper
“Online communities [27, 28], whether static or mobile, proved to play a major role in digital health [29–31], including mental health [11, 32, 33].”
From Effectiveness of online mindfulness interventions on medical students’ mental health: a systematic review (2021) · cites this paper as [29]
Citations
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Yogeswaran, V., & El Morr, C. (2021) · BMC Public Health · doi:10.1186/s12889-021-12341-z · Cited by 62
Self-citation
Metadata
- Authors
- El Morr, C.
- Affiliations
- York University, Canada
- Venue
- Virtual Technologies
- Publisher
- IGI Global
- Published
- 2008
- Pages
- 1539-1543
- OpenAlex
- W4249594410
- Cited by
- 1
- References
- 0
- Citations by year
- 2021: 1
- FWCI
- 0.00
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- IGI Global eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
- Physical Sciences › Engineering › Media Technology › Multimedia Communication and Technology
- Social Sciences › Decision Sciences › Information Systems and Management › Knowledge Management and Sharing
- Keywords
- mobile devices, 3G mobile technology, mobile application, killer applications, mobile learning, mobile entertainment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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