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Introduces social network analysis techniques to business logistics and transportation. The case study has two specific goals. First, it introduces social network analysis techniques to the business logistics and transportation community as a useful tool with which to study the dynamic flows of communication between members of a social network. Second, it describes a wide variety of techniques and then utilizes them to examine artifacts of scholarly communication ‐ journal citations. In doing so, it tracks the changing communication patterns across two separate time periods to describe the evolution and maturation of the fields of business logistics and transportation. Concludes that over a period of ten years the flow of information between the journals in the area of business logistics and transportation has become more efficient and that journals directly communicate with one another. Also, there is no longer a distinct break between logistics and transportation.
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Stored only when both papers are in the corpus — 50 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.