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.
Inhaltsverzeichnis (Table of Contents)
- Abstract
- Table of figures
- Introduction
- Related research
- Theoretical background
- Social network analysis
- General approach
- Project appliance
- Data source and concepts
- Database: ISIWeb of Science
- The concept of RFID
- Additional concepts
- Analysis-tool: TecFlow
- Social network analysis
- Hypotheses
- Hypothesis I: Key journals for RFID
- Hypothesis II: Diffusion over time
- Analysis and evaluation
- Analysis on hypothesis I
- Analysis on hypothesis II
- Summary & conclusion
- Summary on analysis
- Further steps and research
- Table of references
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This paper explores the social network analysis of the ISIWeb journal platform, utilizing the TeCFlow tool, to identify trends and communities within a network of academic papers. The study focuses on the concepts of “RFID” and “Knowledge Work”, specifically examining the centrality and importance of RFID over time.
- Social network analysis in academic research
- The impact of RFID technology
- Trends and communities in scientific publications
- Utilizing data from ISIWeb of Science
- Applying the TeCFlow social network analysis tool
Zusammenfassung der Kapitel (Chapter Summaries)
- Introduction: This chapter introduces the paper's background, focusing on the international collaboration between MIT, HUT, and UoC, and the analysis of the ISIWeb database using the TeCFlow tool. It highlights the study's focus on the concepts of "RFID" and "Knowledge Work" and sets the stage for the subsequent analysis of two key hypotheses.
- Related research: This chapter provides a context for the paper by discussing existing research on social network analysis in the field of science. It examines previous studies that explored the use of social network tools to analyze scientific literature.
- Theoretical background: This chapter delves into the theoretical foundations of social network analysis and its application in the context of scientific publications. It explains the concepts of centrality and importance within a network and introduces the TeCFlow tool and its functionalities.
- Hypotheses: This chapter presents the two main hypotheses that form the core of the study. The first hypothesis concerns the identification of key journals for RFID research, while the second hypothesis investigates the diffusion of RFID research over time.
- Analysis and evaluation: This chapter provides a detailed analysis of the two hypotheses, examining the data gathered from ISIWeb using the TeCFlow tool. It discusses the findings and insights obtained from the analysis, exploring patterns and trends related to RFID research.
Schlüsselwörter (Keywords)
This research paper focuses on social network analysis, utilizing the TeCFlow tool, to study the scientific community and the impact of RFID technology. The analysis is based on data extracted from the ISIWeb of Science database. Key terms and concepts include social network analysis, RFID, ISIWeb of Science, TeCFlow, knowledge work, scientific publications, and diffusion of research.
- Arbeit zitieren
- Nikolaus Schmidt (Autor:in), John Heinrigs (Autor:in), 2006, The analysis of scientific disciplines and their development using a Social Network Analysis Tool, München, GRIN Verlag, https://www.grin.com/document/85277
