The Industry 5.0 (I50) paradigm, blockchain-based applications and the smart city

Bibliometric data for strategic diagram analysis in the field of blockchain applications in smart cities research.

The repository contains a set of 15 files with detailed bibliometric information concerning research on blockchain applications in smart cities. The dataset has been prepared for the purpose of conducting a strategic analysis in this field, using the SciMAT software. The contents of the file are outlined below, details on the method of analysis follow.

The list of data files included in this repository:

00 Information about the project

01 Fig 1.1.PNG This file provides an overview of research themes by analyzing the total number of core documents discussing each application.

01 Fig. 1.1.TXT This text file describes the content of Fig 1.1.

01 Fig 1.2.PNG This file features diagram 1.2. Thematic Core Based on Volume and h-index

01 Fig. 1.2.TXT This text file describes the content of Fig 1.2.

02 Fig. 2.1.PNG This file features Diagram 2.1. Core Documents – Sum of Citations, which highlight themes with high cumulative citation counts.

02 Fig. 2.1.TXT This text file describes the content of Fig 2.1.

02 Fig. 2.2.PNG This file features Diagram 2.2. Secondary Documents-documents Count, which measures the number of academic papers on secondary themes

02 Fig. 2.2.TXT This text file describes the content of Fig 2.2.

02 Fig. 2.3.PNG This file features Diagram 2.3. Secondary Documents – h index, which measures the scholarly impact of secondary themes, as identified in Fig 2.2.

02 Fig. 2.3.TXT This text file describes the content of Fig 2.3.

03 Fig. 3.1.PNG This file features the results of cluster analysis of the whole thematic network.

03 Fig. 3.1.TXT This text file describes the content of Fig 3.1.

03 Table 3.1.ODS This file features tabular data supporting the analysis of the whole thematic network.

03 Description TXT: This file describes the content of 03 Table 3.1

Details of the method of analysis

Keywords: the file includes a set of keywords assigned to academic publications on smart services and smart cities. These keywords are essential for understanding the main research areas in the field.

Data parameters: the file provides information on the date and method of data collection, the tool used (SciMAT), as well as parameters for individual keywords and their networks.

Frequency: the data includes information on the frequency of occurrence of each keyword in the analyzed texts. This allows for the identification of the most important and frequently discussed topics.

Co-occurrence: the file also contains information on the co-occurrence of keywords, i.e., how often certain terms appear together in the same academic publication. This enables the analysis of relationships between different concepts and themes.

Network graphs: the dataset includes network graphs generated through bibliometric analysis using SciMAT. These graphs illustrate relationships between keywords and can be used to visualize the structure of research in the field. Two types of graphs were used in the analysis: the strategic diagram and individual keyword network graphs, whose clusters are shown on the strategic diagram.

Algorithm parameters: the file also contains parameters of the algorithms used for data aggregation and analysis. This makes it possible to replicate and repeat the analysis in the future, which is key for comparative studies.

Analysis results: The dataset includes the results of the conducted analyses, which can be used for further research and comparisons.

SciMAT software, a specialized tool for scientific and bibliometric analysis, was used for the preparation and analysis of the data. Additionally, popular programming environments such as Python or R can be employed for further data processing and analysis.