Mapping the Intellectual Landscape of Digital Social Networks: A Bibliometric and Citation Network Analysis

Abstract

Network science is an interdisciplinary field that transcends traditional academic boundaries. However, a critical gap exists in understanding the epistemological fragmentation between empirical sociology and algorithmic science. This study addresses this by conducting a comparative bibliometric analysis of three leading journals: Social Networks, Network Science, and the Journal of Complex Networks. Beyond traditional mapping, our central contribution is the identification of 'topological bottlenecks'--seminal works that gatekeep interdisciplinary knowledge flow. We reveal a hierarchical 'scale-free' structure that, while ensuring theoretical continuity, may inadvertently stifle the development of new frameworks needed for modern algorithmic complexities.