Сравнение методов

	Анализ сетей соавторства	Анализ библиографических связей
Область	Библиометрия	Библиометрия
Семейство	Process / pipeline	Process / pipeline
Год появления	2001	1963
Автор метода	Mark E. J. Newman and others	Melvin M. Kessler
Тип	Method	Method
Основополагающий источник	Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2), 404–409.	Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131.
Другие названия	collaboration network, authorship network, research collaboration mapping	document coupling, bibliographic similarity
Связанные	4	5
Сводка	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.	Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords.