Wanelik, Klara M.Farine, Damien R.2023-12-031432-0762http://hdl.handle.net/1885/307630This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.Open Access funding enabled and organized by Projekt DEAL. KMW was supported by a Natural Environment Research Council (NERC) research grant NE/L013452/1 awarded to Steve Paterson, Mike Begon (University of Liverpool), Janette E. Bradley (University of Nottingham) and Joseph A. Jackson (University of Salford), and a Johnston Postdoctoral Development Award from the University of Liverpool. DRF received funding from the Max Planck Society, with an Eccellenza Professorship Grant of the Swiss National Science Foundation (Grant Number PCEFP3_187058), and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 850859).application/pdfen-AU© The Author(s) 2022Home rangePoint-based observationsSocial networkSpace-sharingSparse observationsTrapping dataA new method for characterising shared space use networks using animal trapping data2022-08-2610.1007/s00265-022-03222-52022-08-28