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. 2023;82(2):2887-2911.
doi: 10.1007/s11042-022-13451-5. Epub 2022 Jul 30.

New and emerging forms of data and technologies: literature and bibliometric review

Affiliations

New and emerging forms of data and technologies: literature and bibliometric review

Petar Radanliev et al. Multimed Tools Appl. 2023.

Abstract

With the increased digitalisation of our society, new and emerging forms of data present new values and opportunities for improved data driven multimedia services, or even new solutions for managing future global pandemics (i.e., Disease X). This article conducts a literature review and bibliometric analysis of existing research records on new and emerging forms of multimedia data. The literature review engages with qualitative search of the most prominent journal and conference publications on this topic. The bibliometric analysis engages with statistical software (i.e. R) analysis of Web of Science data records. The results are somewhat unexpected. Despite the special relationship between the US and the UK, there is not much evidence of collaboration in research on this topic. Similarly, despite the negative media publicity on the current relationship between the US and China (and the US sanctions on China), the research on this topic seems to be growing strong. However, it would be interesting to repeat this exercise after a few years and compare the results. It is possible that the effect of the current US sanctions on China has not taken its full effect yet.

Keywords: Bibliometric review; High-dimensional data; Literature review; New and emerging forms of data; Open data; Real-time data; Spatiotemporal data; Time-stamped data.

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Conflict of interest statement

Competing interestsOn behalf of all authors, the corresponding author states that there is no conflict nor competing interest.

Figures

Fig. 1
Fig. 1
By country research output by key topics – search parameters (social networks AND spatiotemporal data)
Fig. 2
Fig. 2
Same search parameters – number of publications are dropping in 2018, 2019 and 2020
Fig. 3
Fig. 3
By country research output by key topics – search parameters (social networks AND time-stamped data)
Fig. 4
Fig. 4
Same search parameters as in Fig. 3 – collaboration network
Fig. 5
Fig. 5
By country research output by key topics – search parameters (social networks AND open data) - from the 500 most relevant articles on WoS
Fig. 6
Fig. 6
Same search parameters as in Fig. 5 – collaboration network – from the 500 most relevant articles on WoS
Fig. 7
Fig. 7
Analysis - UK seems more represented than China in the 500 most relevant articles on WoS
Fig. 8
Fig. 8
USA has strong presence in the collaboration network on real-time data analysis
Fig. 9
Fig. 9
By country, China seems to lead in high-dimensional data analysis - from the most relevant 500 articles on WoS
Fig. 10
Fig. 10
Collaboration network with at least one connection – analysis: China seems to be leading, followed by the US, while the UK is missing, 0 connections on this topic and the UK (from the 500 most relevant articles on WoS – search parameters: social media AND high-dimensional data)
Fig. 11
Fig. 11
Surprisingly weak global collaboration with the US and UK (much stronger connecting with China)
Fig. 12
Fig. 12
Analysis of the updated results - US seems to be leading in NEFD
Fig. 13
Fig. 13
Different search, similar results like the previous Fig. 11 – weak collaboration between UK and US, − despite the news media coverage, the US seems to be working closer with China in this area

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