Journal databases provide an easy access to most scientifically relevant topics and articles. Since articles refer to other articles these, do provide a social network-like structure. Social networks follow certain patterns that contain relevant data about the current state or the development in the future. With these indications, we will try to use a social network Analysis tool in order to find such patterns within the field of sciences extracted from a scientific database. The tool we will be using is called TecFlow. The database is a partial extraction from ISIWeb.
Within this paper, two hypotheses are analysed and described. The focus lies on the centrality and importance of the concept of RFID over time.
Due to the actual relevance of social network analysis and new character of this paper, the analysis-results can lead to various future researches and studies, which are identified and described within this article.
Table of Contents
1 Abstract
3 INTRODUCTION
4 RELATED RESEARCH
5 THEORETICAL BACKGROUND
5.1 SOCIAL NETWORK ANALYSIS
5.1.1 GENERAL APPROACH
5.1.2 PROJECT APPLIANCE
5.2 DATA SOURCE AND CONCEPTS
5.2.1 DATABASE: ISIWEB OF SCIENCE
5.2.2 THE CONCEPT OF RFID
5.2.3 ADDITIONAL CONCEPTS
5.3 ANALYSIS-TOOL: TECFLOW
6 HYPOTHESES
6.1 HYPOTHESIS I: KEY JOURNALS FOR RFID
6.2 HYPOTHESIS II: DIFFUSION OVER TIME
7 ANALYSIS AND EVALUATION
7.1 ANALYSIS ON HYPOTHESIS I
7.2 ANALYSIS ON HYPOTHESIS II
8 SUMMARY & CONCLUSION
8.1 SUMMARY ON ANALYSIS
8.2 FURTHER STEPS AND RESEARCH
Objectives & Core Themes
This paper examines the application of Social Network Analysis (SNA) to scientific databases, specifically investigating the evolution and centrality of the RFID concept within academic journal networks. By utilizing the TeCFlow tool on ISIWeb of Science data, the study explores how research interest in RFID has developed, shifted disciplines, and identified key institutional drivers over time.
- Social Network Analysis Methodology
- RFID Concept Diffusion and Trends
- Identification of Core Academic Journals
- The Influence of IEEE in Technical Discussions
- Network Evolution from Control to Integration
Excerpt from the Book
5.1.1 General approach
A Social Network represents the social structure between actors. The Social Network Analysis investigates the roles and relations of these actors. Actors are mostly individuals or organizations, but can be nearly anything. Relations on the other hand side connect actors to each other thus forming a Network.
Nodes and ties graphically represent such Networks, whereas nodes represent the actors while ties represent all different kinds of relationships.
The Social Network Analysis focuses on revealing patterns within these Networks. The identification of such patterns is based on two different approaches. On the one hand the network can be analysed with formal mathematical terms and on the other hand side by systematic analysis of empirical data collected through experience.
The Social Network Analysis is originated in the field of social science, but nowadays lots of other sciences contributed to it. These range from organizational studies up to social psychology.
Summary of Chapters
3 INTRODUCTION: This chapter outlines the international project scope, the utilization of the ISIWeb database, and the core research interest in identifying trends regarding RFID and Knowledge Work.
4 RELATED RESEARCH: This section reviews existing empirical studies on citation networks, specifically highlighting previous work on publication patterns in high-energy physics and the relative influence of journals.
5 THEORETICAL BACKGROUND: This chapter establishes the fundamental concepts of Social Network Analysis, introduces the ISIWeb data source, describes the technical nature of RFID, and explains the functionality of the TeCFlow analysis tool.
6 HYPOTHESES: This chapter introduces two central hypotheses regarding the identification of core journals for RFID and the diffusion of the RFID topic within academic literature over time.
7 ANALYSIS AND EVALUATION: This section details the practical application of TeCFlow, presenting network visualizations and data to analyze the centrality of journals and the chronological expansion of RFID research.
8 SUMMARY & CONCLUSION: This final chapter synthesizes the research findings, confirming the growth of RFID topics and the emergence of specific academic and institutional leaders, while proposing directions for future study.
Keywords
Social Network Analysis, RFID, ISIWeb of Science, TeCFlow, Citation Network, Knowledge Work, Academic Journals, Betweenness Centrality, IEEE, Communication Patterns, Innovation Networks, Bibliometrics, Research Diffusion, Network Visualization, Academic Trends
Frequently Asked Questions
What is the primary focus of this research paper?
The paper focuses on analyzing scientific disciplines and their development by applying Social Network Analysis (SNA) to academic journal data, specifically targeting the topic of RFID.
Which specific databases and tools are used for this analysis?
The researchers utilized the "ISIWeb of Science" database and the "TeCFlow" tool, which was developed to reveal communication patterns in social networks.
What are the two main hypotheses tested in the study?
The study tests two hypotheses: first, that there are specific central journals driving RFID research, and second, that the importance of RFID as a research topic has increased significantly over time.
What methodology is applied to the network data?
The authors use a combination of formal mathematical analysis and systematic evaluation of empirical citation data, specifically focusing on metrics like "betweenness centrality" and "communication frequency."
What does the main part of the paper cover?
The main part covers the theoretical framework of SNA, the technical background of RFID, the visualization of the network through TeCFlow, and the evaluation of the shift in research focus from technical control mechanisms to integrated supply chain systems.
How is the research community characterized in this study?
The research characterizes the community by identifying key academic players, such as the IEEE, and highlighting the geographic concentration of influential research in Germany, the USA, and India.
What role does the IEEE play according to the analysis?
The analysis identifies the IEEE as a central player, as one-third of the identified core journals in the field of RFID are published by this institution.
How has the focus of RFID research evolved since 1993?
Initially, research was focused on stand-alone products and simple control mechanisms, primarily in agriculture; however, post-2003, the focus shifted toward integrated processes, supply chains, and broader computer scientific applications.
- Quote paper
- Nikolaus Schmidt (Author), John Heinrigs (Author), 2006, The analysis of scientific disciplines and their development using a Social Network Analysis Tool, Munich, GRIN Verlag, https://www.grin.com/document/85277
