Simon DeDeo
Carnegie Mellon University
102 Papers
619 Citations
Simon DeDeo is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Computer science & Neutron star. The author has an hindex of 23, co-authored 95 publications. Previous affiliations of Simon DeDeo include Santa Fe Institute & University of Chicago.
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Papers
Effects of the sound speed of quintessence on the microwave background and large scale structure
TL;DR: In this paper, the authors consider how quintessence models in which the sound speed differs from the speed of light and varies with time affect the cosmic microwave background and the fluctuation power spectrum.
129
Social Feedback and the Emergence of Rank in Animal Society.
Elizabeth A. Hobson,Simon DeDeo +1 more
TL;DR: A new theory is presented, of a feedback loop between knowledge of rank and consequent behavior, that explains the transition to strategic aggression and the formation and persistence of dominance hierarchies in groups capable of both social memory and inference.
How We Do Things With Words: Analyzing Text as Social and Cultural Data.
Dong Nguyen,Maria Liakata,Maria Liakata,Maria Liakata,Simon DeDeo,Jacob Eisenstein,David Mimno,Rebekah Tromble,Jane Winters +8 more
- 25 Aug 2020
TL;DR: In this article, the authors describe their experiences with computational text analysis involving rich social and cultural concepts, and provide a set of key questions that can guide work in this area, based on their own experiences and is therefore inherently imperfect.
Aggression heuristics underlie animal dominance hierarchies and provide evidence of group-level social information.
TL;DR: In this article, the rank-dependent social dominance of individuals within social dominance hierarchies was analyzed in 172 social groups across 85 species in 23 orders and found that the majority of the groups (133 groups, 77%) follow a downward heuristic, but a significant minority (38 groups, 22%) show more complex social dominance patterns (close competitors or bullying) consistent with higher levels of social information use.
77
Cluster mass estimators from CMB temperature and polarization lensing
Wayne Hu,Simon DeDeo,Chris Vale +2 more
TL;DR: In this paper, the authors developed statistical mass estimators from six quadratic combinations of CMB temperature and polarization fields that can simultaneously recover large-scale structure and cluster mass profiles.