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The increasing availability of scientific literature has led to a growing demand for efficient methods to download and analyze full-text scientific networks. This paper presents FullSNet, a novel framework designed to facilitate the downloading and analysis of full-text scientific networks. We describe the architecture, functionality, and applications of FullSNet, highlighting its potential to support large-scale bibliometric studies, network analysis, and knowledge discovery.

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