211 citations · 295 across the 6 of their papers we have counts for
8 papers
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…
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…
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…
Flexible inference in heterogeneous and attributed multilayer networks
Martina Contisciani, Marius Hobbhahn, Eleanor A. Power +2
Networked datasets can be enriched by different types of information about individual nodes or edges. However, most existing methods for analyzing such datasets struggle to handle…
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
Caterina De Bacco, Martina Contisciani, Jonathan Cardoso-Silva +10
Social network data are often constructed by incorporating reports from multiple individuals. However, it is not obvious how to reconcile discordant responses from individuals. The…
Community detection with node attributes in multilayer networks
Martina Contisciani, Eleanor Power, Caterina De Bacco
Community detection in networks is commonly performed using information about interactions between nodes. Recent advances have been made to incorporate multiple types of interactio…
Community detection, link prediction, and layer interdependence in multilayer networks
Caterina De Bacco, Eleanor A. Power, Daniel B. Larremore +1
Complex systems are often characterized by distinct types of interactions between the same entities. These can be described as a multilayer network where each layer represents one…
Dynamics of beneficial epidemics
Andrew Berdahl, Christa Brelsford, Caterina De Bacco +12
Pathogens can spread epidemically through populations. Beneficial contagions, such as viruses that enhance host survival or technological innovations that improve quality of life,…