activity
20232026
collaborators

5 papers

cs.SI2026

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

Eleanor A. Power, Daniel Redhead, Tom Rutter +56

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 d…

stat.ME2026

Multilevel modelling of double-sampled clustered social networks with individual-level data on between-cluster ties

Fiona Steele, Justin Weltz, Eleanor A. Power +1

We consider the analysis of dyadic network data on ties between individuals in different clusters where the presence of a directed tie is reported by each individual in a dyad and…

cs.SI2026

Social Network Structure, Wealth, and Wealth Inequality Across Cultures

Eleanor A. Power, Monique Borgerhoff Mulder, Samuel Bowles +57

Despite theory tying wealth inequality to social structure, empirical evidence has been limited to a few studies based on online social media data. This study uses a very different…

stat.ME2025

Reinforcement Learning for Respondent-Driven Sampling

Justin Weltz, Angela Yoon, Yichi Zhang +2

Respondent-driven sampling (RDS) is widely used to study hidden or hard-to-reach populations by incentivizing study participants to recruit their social connections. The success an…

math.ST2023

Experimental Designs for Heteroskedastic Variance

Justin Weltz, Tanner Fiez, Alexander Volfovsky +4

Most linear experimental design problems assume homogeneous variance although heteroskedastic noise is present in many realistic settings. Let a learner have access to a finite set…