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Over the last decade, mobile network technologies and services show a progressive growth in term of customers, amount of transmitted and generated data, both user and operational data. The operation data represents a valuable information source for mobile operators as they can be further processed and data mining algorithms applied to extract enhanced (value-added) information. In this paper, we focus on Call Detail Records of international incoming and outgoing mobile phone calls. We analyze traffic profile for different time periods (day, week, month, and year), and we discuss major factors affecting the traffic. The observed results show a longterm traffic stability and a periodicity that reflects human behavior and activities.
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Stored only when both papers are in the corpus — 5 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.