A Structural Model of Segregation in Social Networks
By Angelo Mele. 2010
118 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Yves Zenou
- Arun G. Chandrasekhar
- Brian W. Rogers
- Bryan S. Graham
- Matthew O. Jackson
- Guido W. Imbens
- Paul Goldsmith-Pinkham
- Arthur Campbell
In Statistical and Nonlinear Physics
- Yves Zenou
- Arun G. Chandrasekhar
- Bryan S. Graham
- Brian W. Rogers
- Matthew O. Jackson
- Roberto Tempo
- Anton V. Proskurnikov
- Prasanna Gai
Citations in the corpus
- The Economic Consequences of Social Network Structure (2017, background): “The importance of clustering traces back to the pioneering social network research of Simmel (1908). Coleman (1988) provides specific discussion of the role of clustering (or more general forms of “closure”) in enforcing social norms.”
- An Econometric Model of Network Formation With Degree Heterogeneity (2017, background): “6Prior empirical work based on a single network has generally taken a Bayesian approach (e.g., van Duijn et al., 2004; Krivitsky et al., 2009; Christakis et al., 2010; Mele, 2013; Goldsmith-Pinkham and Imbens, 2013).”
- Econometrics of Network Formation (2016, methodology): “Observe that this allows for an agent’s utility to depend on “friends of friends” as desired in a number of models (Goldsmith-Pinkham and Imbens (2013); Mele (2013); Badev (2013)) by including subgraphs of the form g` = {ij, kj}.”