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Very large datasets, also known as big data, originate from many domains. Deriving knowledge is more difficult than ever when we must do it by intricately processing this big data. Leveraging the social network paradigm could enable a level of collaboration to help solve big data processing challenges. Here, the authors explore using personal ad hoc clouds comprising individuals in social networks to address such challenges.
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Stored only when both papers are in the corpus — 215 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.