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A major goal shared by neuroscience and collective behavior is to understandhow dynamic interactions between individual elements give rise to behaviors inpopulations of neurons and animals, respectively. This goal has recently becomewithin reach thanks to techniques providing access to the connectivity andactivity of neuronal ensembles as well as to behaviors among animalcollectives. The next challenge using these datasets is to unravel networkmechanisms generating population behaviors. This is aided by network theory, afield that studies structure-function relationships in interconnected systems.Here we review studies that have taken a network view on modern datasets toprovide unique insights into individual and collective animal behaviors.Specifically, we focus on how analyzing signal propagation, controllability,symmetry, and geometry of networks can tame the complexity of collective systemdynamics. These studies illustrate the potential of network theory toaccelerate our understanding of behavior across ethological scales.

Connecting the dots in ethology: applying network theory to understand neural and animal collectives