Daniel Redhead
@danielredhead.bsky.social
Assistant Professor in Sociology at @rug.nl | Interdisciplinary researcher interested in social networks, cooperation, and social and economic inequality | Assistant director of the ENDOW project: endowproject.github.io 🏳️🌈
All from an amazing interdisciplinary group 👥: @benkawam.bsky.social 🌟, @jgyou.bsky.social, Dan Franks, Connor Philson, Marijtje van Duijn, @jordanhart96.bsky.social, MB McElreath, @rmcelreath.bsky.social, @eapower.bsky.social, Cody Ross, @steglich.bsky.social, & @ljnbrent.bsky.social!
August 4, 2025 at 4:21 PM
All from an amazing interdisciplinary group 👥: @benkawam.bsky.social 🌟, @jgyou.bsky.social, Dan Franks, Connor Philson, Marijtje van Duijn, @jordanhart96.bsky.social, MB McElreath, @rmcelreath.bsky.social, @eapower.bsky.social, Cody Ross, @steglich.bsky.social, & @ljnbrent.bsky.social!
4/ We hope this paper helps bring ASNA into closer conversation with the broader social networks/network science fields—bridging gaps and building better science across disciplines!
📄 ecoevorxiv.org/repository/v...
Please get in touch if you have any questions or feedback !
📄 ecoevorxiv.org/repository/v...
Please get in touch if you have any questions or feedback !
Five misunderstandings in animal social network analysis
ecoevorxiv.org
August 4, 2025 at 4:21 PM
4/ We hope this paper helps bring ASNA into closer conversation with the broader social networks/network science fields—bridging gaps and building better science across disciplines!
📄 ecoevorxiv.org/repository/v...
Please get in touch if you have any questions or feedback !
📄 ecoevorxiv.org/repository/v...
Please get in touch if you have any questions or feedback !
3/ We show how generative network models provide an important tool for people in ASNA. They can handle uneven sampling and measurement issues, produce biologically meaningful estimates about network structure (not just p-values ‼️), and can flexibly incorporate other covariate data.
August 4, 2025 at 4:21 PM
3/ We show how generative network models provide an important tool for people in ASNA. They can handle uneven sampling and measurement issues, produce biologically meaningful estimates about network structure (not just p-values ‼️), and can flexibly incorporate other covariate data.