ON THE CRITICAL EXPONENT FOR FLOCKS UNDER HIERARCHICAL LEADERSHIP

By Felipe Cucker, Jiu‐Gang Dong. 2009

55 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Public Health, Environmental and Occupational Health, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/0c087a13bb644d7a113f65cc633e97fa0098f749

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Young-Pil Choi
2. Zhuchun Li
3. Christian Dogbé
4. Nicola Bellomo
5. Seung‐Yeal Ha
6. José Antonio Carrillo
7. Eitan Tadmor
8. Sébastien Motsch

In Public Health, Environmental and Occupational Health

1. Zhuchun Li
2. Nicola Bellomo
3. Young-Pil Choi
4. Seung‐Yeal Ha

In Sociology and Political Science

1. Zhuchun Li
2. Nicola Bellomo
3. Young-Pil Choi
4. Seung‐Yeal Ha

Citations in the corpus

• Emergent dynamics of the Cucker-Smale flocking model and its variants (2016, methodology): “Later, Cucker and Dong extended the induction method to the discrete-time hierarchical model to improve the critical exponent, see [27].”
• On the Modeling of Traffic and Crowds: A Survey of Models, Speculations, and Perspectives (2011, background): “Moreover, although the scaling and representation are analogous, different modeling approaches have been proposed, such as stochastic differential equations [1], macroscopic equations derived from stochastic perturbation of individual dynamics [41], [63], modeling swarming patterns [25], [201], and ”