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This study aims to explore the epistemological gap between empirical sociology and algorithmic science through bibliometric analysis.

Mapping the intellectual landscape of digital social networks: a bibliometric and citation network analysis

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This study aims to explore the epistemological gap between empirical sociology and algorithmic science through bibliometric analysis.
Conducted bibliometric analysis of three journals: Social Networks, Network Science, and Journal of Complex Networks.
Identified topological bottlenecks that influence knowledge flow.
Analyzed the hierarchical scale-free structure of the network.
Revealed topological bottlenecks that gatekeep interdisciplinary knowledge.
Identified a scale-free structure that maintains theoretical continuity but hinders new framework development.
Highlighted the need for frameworks to address modern algorithmic complexities.

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Comparative bibliometric analysis identifies topological bottlenecks in interdisciplinary knowledge flow.

Pu Cui (2026) studied this question.

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