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- W2068504341 abstract "This article presents (1) a general formalism for cluster analysis, allowing a systemic study of simulation research, in particular its dynamic aspects, (2) a model of small bibliographical clusters, allowing inference (among others) on the connectivity of domains, and (3) an outline of new theories of networks with randomly changing nodes and edges, applicable for analysis of different types of relations, e.g., communication between scientists, etc. These models may be useful for analysis of large databases in artificial intelligence. They may also have significance as new approaches to neural network analysis." @default.
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- W2068504341 title "Cluster analysis, graphs, and branching processes as new methodologies for intelligent systems on example of bibliometric and social network data" @default.
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- W2068504341 doi "https://doi.org/10.1002/int.4550050303" @default.
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