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Individual variations lead to universal and cross-species patterns of social behavior
Sang Hyun Choi
, Vikyath D. Rao
, Tim Gernat
, Adam R. Hamilton
,
Gene E. Robinson
,
Nigel Goldenfeld
Entomology
Carl R. Woese Institute for Genomic Biology
Center for Advanced Study
Biomedical and Translational Sciences
Natural Resources and Environmental Sciences
Political Science
Beckman Institute for Advanced Science and Technology
Prairie Research Institute
Physics
Neuroscience Program
Siebel School of Computing and Data Science
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peer-review
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Keyphrases
Social Behavior
100%
Honey Bee
100%
Cross-species
100%
Species Patterns
100%
Scaling Behavior
50%
Time Distribution
50%
Social Interaction
50%
Interaction Time
50%
Pair Interaction
50%
Behavioral Patterns
50%
Specific Mechanisms
50%
Universal Pattern
50%
Interaction Events
50%
High-throughput Measurement
50%
Genetic Relatedness
50%
Human Face
50%
Individual Behaviour
50%
Trophallaxis
50%
Event Duration
50%
Neuroscience
Behavior (Neuroscience)
100%
Social Behavior
100%
Individual Differences
33%
Social Interaction
33%
Computer Science
Individual Variability
100%
High Throughput
50%
Face-To-Face Interaction
50%
Genetic Relatedness
50%