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We have deployed mobile phones to more than 100participants in a community split into two phases. In this paper, we use this unique dataset to study the correlation between users' call and Bluetooth face-to-face interaction patterns, and their financial status. We show that such correlation exists on an individual level. We find that the interaction diversity measure correlates more strongly with individual's financial status compared with other social behavior measures such as the number of contacts and length of interactions, and it is much less sensitive to personality variance. We also discuss in this paper the long-lasting sociological theory that a diverse relationship leads to a more successful financial status. Our evidence tends to support a behavioral and psychological oriented theory opposite to the prevailing arguments: Social diversity exhibited by our participants are influenced by their income as well.
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Stored only when both papers are in the corpus — 15 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.