Methoden vergleichen

	Netzwerkanalyse von Koautorenschaften	Wissenschafts-Mapping
Fachgebiet	Bibliometrie	Bibliometrie
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	2001	2000s
Urheber	Mark E. J. Newman and others	Katy Börner, Chaomei Chen, and others
Typ	Method	Method
Wegweisende Quelle	Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2), 404–409.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Aliasnamen	collaboration network, authorship network, research collaboration mapping	knowledge mapping, domain mapping, research landscape visualization
Verwandt	4	5
Zusammenfassung	Co-authorship network analysis is a method that maps research collaboration patterns by treating authors as nodes and co-authored papers as edges in a network graph. The structure, density, and centrality patterns of this network reveal how researchers connect, collaborate across institutions and disciplines, and form research communities. Pioneered formally by Newman (2001), co-authorship analysis provides quantitative insights into the social fabric of science, revealing collaboration patterns, identifying scientific leaders, and detecting institutional or disciplinary boundaries.	Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning.