Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Daniel W Franks

Showing results (21-30 of 50) with videos related to

Pageof 5
Sort By:
Journal of the Royal Society, Interface|September 10, 2010
Limited interactions in flocks: relating model simulations to empirical dataNikolai W F Bode, Daniel W Franks, A Jamie Wood
Journal of Theoretical Biology|September 7, 2010
Making noise: emergent stochasticity in collective motionNikolai W F Bode, Daniel W Franks, A Jamie Wood
Trends in Ecology & Evolution|June 27, 2017
Animal Social Network Theory Can Help Wildlife ConservationLysanne Snijders, Daniel T Blumstein, Christina R Stanley, et al.
Trends in Ecology & Evolution|July 1, 2011
Hypothesis testing in animal social networksDarren P Croft, Joah R Madden, Daniel W Franks, et al.
Proceedings. Biological Sciences|April 15, 2011
Experiments with humans indicate that decision accuracy drives the evolution of niche widthColin R Tosh, Graeme D Ruxton, Jens Krause, et al.
The Journal of Animal Ecology|March 7, 2020
Ant colony nest networks adapt to resource disruptionDominic D R Burns, Daniel W Franks, Catherine Parr, et al.
Trends in Ecology & Evolution|May 19, 2015
The evolution of prolonged life after reproductionDarren P Croft, Lauren J N Brent, Daniel W Franks, et al.
Molecular Ecology|January 27, 2021
Fine-scale genetic structure reflects limited and coordinated dispersal in the colonial monk parakeet, Myiopsitta monachusFrancesca S E Dawson Pell, Juan Carlos Senar, Daniel W Franks, et al.
Behavioral Ecology and Sociobiology|November 3, 2022
Common permutation methods in animal social network analysis do not control for non-independenceJordan D A Hart, Michael N Weiss, Lauren J N Brent, et al.
Methods in Ecology and Evolution|March 11, 2024
BISoN: A Bayesian Framework for Inference of Social NetworksJordan D A Hart, Michael N Weiss, Daniel W Franks, et al.
Pageof 5

Showing results (21-30 of 50) with videos related to

Sort By:
Pageof 5
Journal of the Royal Society, Interface|September 10, 2010
Limited interactions in flocks: relating model simulations to empirical dataNikolai W F Bode, Daniel W Franks, A Jamie Wood
Journal of Theoretical Biology|September 7, 2010
Making noise: emergent stochasticity in collective motionNikolai W F Bode, Daniel W Franks, A Jamie Wood
Trends in Ecology & Evolution|June 27, 2017
Animal Social Network Theory Can Help Wildlife ConservationLysanne Snijders, Daniel T Blumstein, Christina R Stanley, et al.
Trends in Ecology & Evolution|July 1, 2011
Hypothesis testing in animal social networksDarren P Croft, Joah R Madden, Daniel W Franks, et al.
Proceedings. Biological Sciences|April 15, 2011
Experiments with humans indicate that decision accuracy drives the evolution of niche widthColin R Tosh, Graeme D Ruxton, Jens Krause, et al.
The Journal of Animal Ecology|March 7, 2020
Ant colony nest networks adapt to resource disruptionDominic D R Burns, Daniel W Franks, Catherine Parr, et al.
Trends in Ecology & Evolution|May 19, 2015
The evolution of prolonged life after reproductionDarren P Croft, Lauren J N Brent, Daniel W Franks, et al.
Molecular Ecology|January 27, 2021
Fine-scale genetic structure reflects limited and coordinated dispersal in the colonial monk parakeet, Myiopsitta monachusFrancesca S E Dawson Pell, Juan Carlos Senar, Daniel W Franks, et al.
Behavioral Ecology and Sociobiology|November 3, 2022
Common permutation methods in animal social network analysis do not control for non-independenceJordan D A Hart, Michael N Weiss, Lauren J N Brent, et al.
Methods in Ecology and Evolution|March 11, 2024
BISoN: A Bayesian Framework for Inference of Social NetworksJordan D A Hart, Michael N Weiss, Daniel W Franks, et al.
Pageof 5