Detecting Emotional Contagion in Massive Social Networks¶
Coviello, L., Sohn, Y., Kramer, A. D. I., Marlow, C., Franceschetti, M., Christakis, N. A., & Fowler, J. H. (2014). Detecting Emotional Contagion in Massive Social Networks. PLOS ONE, 9(3).
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Emotional Contagion
- The vocabulary of sources, coupling, thresholds, and damping lets a specialist in one affect-propagation domain read another's problems as structurally familiar, and the transfer is grounded in genuine shared structure rather than surface resemblance, as Coviello and colleagues (2014) show by detecting weather-driven emotional spillover across geographically separated social-network users.
This sourceUses rainfall as an instrument to detect emotional spillover to friends in non-rainy cities — supports the marker-375 weather-instrument claim isolating contagion from shared local conditions.
Supported in partVerified against the work's full text
Coviello et al. supply the weather-instrument demonstration that rainfall in one city shifts the emotional expression of friends in non-rainy cities; they say nothing about reading problems as 'structurally familiar'.
“With data from millions of Facebook users, we show that rainfall directly influences the emotional content of their status messages, and it also affects the status messages of friends in other cities who are not experiencing rainfall.”
- The vocabulary of sources, coupling, thresholds, and damping lets a specialist in one affect-propagation domain read another's problems as structurally familiar, and the transfer is grounded in genuine shared structure rather than surface resemblance, as Coviello and colleagues (2014) show by detecting weather-driven emotional spillover across geographically separated social-network users.
Verification¶
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Registry ID ref:7c69c7ddc343 · see in the full table