Kinetic Description of Social Dynamics: From Consensus to Flocking

Bacteria Collective Swarming and Navigation

Gil Ariel

Bar Ilan University


Quantitative analysis of the dynamics of swarming bacteria called Paenibacillus vortex reveals new types of flow patterns in which cells self-organize into dense traffic lanes and form stable, highly ordered jets and streams. The dynamics inside a swarm is fundamentally different than the classical description of swarming as a mixing and turbulent-like dynamics. We present a new agent-based modeling approach that concentrated on the interaction between particles and a dynamic boundary that represents the edge of a self-generated lubrication layer. Simulations reveal a tight connection between the internal dynamics inside the swarm and the dynamics of the boundary as swarms cooperatively control their internal organization in a manner that depends on the environment. As a consequence, the orientation and speed of propagation of the entire swarm can be controlled, resulting in navigation capabilities – a process fundamentally different than a biased run and tumble as observed in the chemotaxis of individual swimming bacteria.

Joint work with Oren Kalisman, Adi Shklarsh, Colin Ingham and Eshel Ben-Jacob.