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[The Small Worlds and Floyd's algorithms: a way to study scientific collaboration]
María Peñaranda Ortega1, Rafael López Serano, Elena Quiñones Vidal
1Facultad de Psicología, Universidad de Murcia, Spain. mariap@um.es
Psicothema
|February 14, 2007
Summary
This study examines scientific collaboration networks using Small Worlds theory. By analyzing key authors in the Journal of Personality and Social Psychology, it identifies how invisible colleges form and highlights the importance of individual nodes in network analysis.
Area of Science:
- Social Network Analysis
- Bibliometrics
- Scientific Collaboration
Context:
- Recent research in social network analysis focuses on scientific collaboration.
- Small Worlds theory is effective for studying scientific communities.
- Key individuals often bridge disconnected groups within these communities.
Purpose:
- To address the lack of research on individual nodes in network analysis.
- To implement a pseudocode algorithm (Floyd's) to analyze network structures.
- To investigate the formation of small communities and invisible colleges.
Summary:
- The study analyzes the network of the 15 most productive authors from the Journal of Personality and Social Psychology.
- It applies network analysis techniques, including Floyd's algorithm, to understand community formation.
- The research observes the emergence of an invisible college within this specific group of scientists.
Impact:
- Provides a method to study individual nodes in scientific collaboration networks.
- Offers insights into the structure and formation of scientific communities.
- Contributes to understanding the dynamics of knowledge dissemination and influence in academia.
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