| The use of multilayer network analysis in animal behaviour KR Finn, MJ Silk, MA Porter, N Pinter-Wollman Animal Behaviour 149, 7-22, 2019 | 223 | 2019 |
| The importance of fission–fusion social group dynamics in birds MJ Silk, DP Croft, T Tregenza, S Bearhop Ibis 156 (4), 701-715, 2014 | 191 | 2014 |
| Using Social Network Measures in Wildlife Disease Ecology, Epidemiology, and Management MJ Silk, DP Croft, RJ Delahay, DJ Hodgson, M Boots, N Weber, ... BioScience 67 (3), 245-257, 2017 | 183 | 2017 |
| The consequences of unidentifiable individuals for the analysis of an animal social network MJ Silk, AL Jackson, DP Croft, K Colhoun, S Bearhop Animal Behaviour 104, 1-11, 2015 | 127 | 2015 |
| The application of statistical network models in disease research MJ Silk, DP Croft, RJ Delahay, DJ Hodgson, N Weber, M Boots, ... Methods in Ecology and Evolution 8 (9), 1026-1041, 2017 | 114 | 2017 |
| Multilayer and Multiplex Networks: An Introduction to Their Use in Veterinary Epidemiology AC Kinsley, G Rossi, M Silk, K VanderWaal Frontiers in Veterinary Science 7, 596, 2020 | 106 | 2020 |
| Can Multilayer Networks Advance Animal Behavior Research? MJ Silk, KR Finn, MA Porter, N Pinter-Wollman Trends in ecology & evolution 33 (6), 376-378, 2018 | 97 | 2018 |
| Perils and pitfalls of mixed-effects regression models in biology MJ Silk, XA Harrison, DJ Hodgson PeerJ 8, e9522, 2020 | 92 | 2020 |
| Integrating social behaviour, demography and disease dynamics in network models: applications to disease management in declining wildlife populations MJ Silk, DJ Hodgson, C Rozins, DP Croft, RJ Delahay, M Boots, ... Philosophical Transactions of the Royal Society B 374 (1781), 20180211, 2019 | 91 | 2019 |
| Considering connections between Hollywood and biodiversity conservation MJ Silk, SL Crowley, AJ Woodhead, A Nuno Conservation Biology 32 (3), 597-606, 2018 | 87 | 2018 |
| Wildlife disease ecology from the individual to the population: Insights from a long‐term study of a naturally infected European badger population JL McDonald, A Robertson, MJ Silk Journal of Animal Ecology 87 (1), 101-112, 2018 | 86 | 2018 |
| Common datastream permutations of animal social network data are not appropriate for hypothesis testing using regression models MN Weiss, DW Franks, LJN Brent, S Ellis, MJ Silk, DP Croft Methods in Ecology and Evolution 12 (2), 255-265, 2021 | 80 | 2021 |
| Evaluating Bayesian stable isotope mixing models of wild animal diet and the effects of trophic discrimination factors and informative priors GJF Swan, S Bearhop, SM Redpath, MJ Silk, CED Goodwin, R Inger, ... Methods in Ecology and Evolution 11 (1), 139-149, 2020 | 77 | 2020 |
| Understanding animal social structure: exponential random graph models in animal behaviour research MJ Silk, DN Fisher Animal Behaviour 132, 137-146, 2017 | 73 | 2017 |
| A guide to choosing and implementing reference models for social network analysis EA Hobson, MJ Silk, NH Fefferman, DB Larremore, P Rombach, S Shai, ... Biological Reviews 96 (6), 2716-2734, 2021 | 71 | 2021 |
| Infected or informed? Social structure and the simultaneous transmission of information and infectious disease JC Evans, MJ Silk, NJ Boogert, DJ Hodgson Oikos, 2020 | 57 | 2020 |
| Contact networks structured by sex underpin sex‐specific epidemiology of infection MJ Silk, NL Weber, LC Steward, DJ Hodgson, M Boots, DP Croft, ... Ecology letters 21 (2), 309-318, 2018 | 57 | 2018 |
| The educational value of virtual ecologies in Red Dead Redemption 2 EJ Crowley, MJ Silk, SL Crowley People and Nature 3 (6), 1229-1243, 2021 | 53 | 2021 |
| Calculating effect sizes in animal social network analysis DW Franks, MN Weiss, MJ Silk, RJY Perryman, DP Croft Methods in Ecology and Evolution 12 (1), 33-41, 2021 | 53 | 2021 |
| Analysing animal social network dynamics: the potential of stochastic actor‐oriented models DN Fisher, A Ilany, MJ Silk, T Tregenza Journal of Animal Ecology 86 (2), 202-212, 2017 | 53 | 2017 |
Robbie A McDonaldChief Scientist, Office for Environmental ProtectionVerified email at theoep.org.uk
