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A cross-cultural dataset on the structure of social networks: The ENDOW project
Eleanor A. Power, Daniel Redhead, Tom Rutter, Sahana Subramanyam, Jeremy Koster, Monique Borgerhoff Mulder, Samuel Bowles, Matthew O. Jackson, Nurul Alam, Sarah Alami, Alexandra Alvergne, Curtis Atkisson, Michele Barnes, Bret Beheim, Christine M. Beitl, Madeline Brown, Mark Caudell, Wendy Chávez-Páez, Komal Chauhan, Joshua Cinner, Siobhán Cully, Augusto Dalla Ragione, Angelina L. DeMarco, Ivan Deschenaux, Federico Fernandez, Juan Pablo Ferreiro, Drew Gerkey, Matthew Gervais, Christopher Golden, Gianluca Grimalda, Werner Hertzog, Karen Kramer, Geoff Kushnick, Banrida Langstieh, Rodrigo Lazo, Sheina Lew-Levy, Shane Macfarlan, Emmanuel Maliti, Karl J. Mertens, Madalena Monteban, Rafael Morais Chiaravalloti, Daniel Murphy, Kathryn Oths, Alejandro Pérez Velilla, Emily Post, Sean Prall, Cody Ross, Brooke Scelza, Michael Schnegg, Edmond Seabright, Mary K. Shenk, Kathrine E. Starkweather, Chun-Yi Sum, Cole Tobin, Bram Tucker, Bapu Vaitla, Vivek Venkataraman, Justin Weltz, John P. Ziker

A cross-cultural dataset on the structure of social networks: The ENDOW project

Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

We present multilayer social network data from 50 communities, located in 29 countries around the world, gathered as part of the "ENDOW" project. The communities show exceptional diversity, from fishers in Bangladesh and Vanuatu, to horticulturalists in Fiji and Bolivia, to pastoralists in Namibia and Argentina, to farmers and wage labourers in India and Colombia. Data collection embraced this variation, while still aiming for comparability. Respondents answered ten network prompts on behalf of their "sharing unit" (household), covering different types of material and immaterial support. From these, we construct networks representing flows of support between sharing units in each community. We compare nomination patterns and network summary statistics across the ENDOW communities and to other benchmark datasets. The summaries exhibit considerable heterogeneity, suggesting a need to revisit existing ``rules of thumb'' about social network structure. These measures contribute novel reference points for research on the diversity of human sociality and social structure.

Indexed from repository: arXiv (arxiv.org)
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Document Title A cross-cultural dataset on the structure of social networks: The ENDOW project
Author / Organization Eleanor A. Power, Daniel Redhead, Tom Rutter, Sahana Subramanyam, Jeremy Koster, Monique Borgerhoff Mulder, Samuel Bowles, Matthew O. Jackson, Nurul Alam, Sarah Alami, Alexandra Alvergne, Curtis Atkisson, Michele Barnes, Bret Beheim, Christine M. Beitl, Madeline Brown, Mark Caudell, Wendy Chávez-Páez, Komal Chauhan, Joshua Cinner, Siobhán Cully, Augusto Dalla Ragione, Angelina L. DeMarco, Ivan Deschenaux, Federico Fernandez, Juan Pablo Ferreiro, Drew Gerkey, Matthew Gervais, Christopher Golden, Gianluca Grimalda, Werner Hertzog, Karen Kramer, Geoff Kushnick, Banrida Langstieh, Rodrigo Lazo, Sheina Lew-Levy, Shane Macfarlan, Emmanuel Maliti, Karl J. Mertens, Madalena Monteban, Rafael Morais Chiaravalloti, Daniel Murphy, Kathryn Oths, Alejandro Pérez Velilla, Emily Post, Sean Prall, Cody Ross, Brooke Scelza, Michael Schnegg, Edmond Seabright, Mary K. Shenk, Kathrine E. Starkweather, Chun-Yi Sum, Cole Tobin, Bram Tucker, Bapu Vaitla, Vivek Venkataraman, Justin Weltz, John P. Ziker
Subject & Discipline cs.SI
Categories Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-272981
Original Source Link Visit Source Page on arxiv.org »