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Быстрицкий Н.И. The Study of Networks in Historical Sciences

Published in journal "Исторический журнал: научные исследования", 2017-3 , pages 39-51.

Resume: This article is an overview of the research methodologies used in the study of networks with consideration of the recently opened wide possibilities for its effective application for a more wide-ranging comprehensive study of historical facts. The study of networks in historical sciences could help to deepen our understanding of the formation and development mechanisms of various social groups and structures in historical perspective. Their functioning is mainly conditioned by the relationships characteristics between the elements, which are determined by the interactions in the exchange of information and resources, and social capital. The professional use of the analytical apparatus and visualization tools in the study of networks allows a scientist to more clearly and in greater detail understand the essence of a complex historical phenomenon and to present the results with clear evidence. The article examines the general methodology of social network analysis (SNA) and offers examples of its application in various fields of modern historical studies. Today, the study of networks gained significant popularity among specialists in various scientific and industrial spheres around the world. The relevance of network studies in history will increase, as the effectiveness of its methods is already confirmed in many areas of historical knowledge: economic history, archeology, genealogical studies, numismatics, sigillography, art history, linguistics, etc. But despite the growing interest of scientists, the material for the application of the methods of network studies in historical sciences, published in Russian, are extremely few. This article aims to fill this gap.

Keywords: study of networks, historical research methods, historical sciences, historical research tools, scientific methodology, complex networks, science of complexity, social network analysis, historical network science, historical networks

DOI: 10.7256/2454-0609.2017.3.21919

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