Angelo Mele
Biographic Data
| ID | 6917218 |
|---|---|
| NAME | Angelo Mele |
| GIVEN NAMES | Angelo |
| FAMILY NAME | Mele |
| SIGNATURE | MELE A |
| AFFILIATIONS | Carey Business School, Johns Hopkins University, Baltimore, MD |
| ORCID | 0000-0003-2890-6042 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Spectral Estimation of Large Stochastic Blockmodels with Discrete Nodal Covariates
In many applications of network analysis, it is important to distinguish between observed and unobserved factors affecting network structure. We show that a network model with discrete unobserved link heterogeneity and binary (or discrete) covariates corresponds to a stochastic blockmodel (SBM). We develop a spectral estimator for the effect of covariates on link probabilities, exploiting the correspondence of SBMs and generalized random dot prod…
Approximate Variational Estimation for a Model of Network Formation
We develop approximate estimation methods for exponential random graph models (ERGMs), whose likelihood is proportional to an intractable normalizing constant. The usual approach approximates this constant with Monte Carlo simulations; however, convergence may be exponentially slow. We propose a deterministic method, based on a variational mean-field approximation of the ERGM's normalizing constant. We compute lower and upper bounds for the appro…
A Structural Model of Homophily and Clustering in Social Networks
I develop and estimate a structural model of network formation with heterogeneous players and latent community structure, whose equilibrium homophily and clustering levels match those usually observed in real-world social networks. Players belong to communities unobserved by the econometrician and have community-specific payoffs, allowing preferences to have a bias for similar people. Players meet sequentially and decide whether to form bilateral…
Viral Altruism? Charitable Giving and Social Contagion in Online Networks
How do social media affect the success of charitable campaigns? We show that, despite the promise of online platforms to generate social network effects in generosity through social contagion or peer effects, these platforms may instead stimulate costless (and less impactful) forms of involvement. Online social contagion might thus be limited when it comes to contributing real money to charities. This study relies on both individual-level longitu…
A Structural Model of Segregation in Social Networks
Viral Altruism? Charitable Giving and Social Contagion in Online Networks
How do social media affect the success of charitable campaigns? We show that, despite the promise of online platforms to generate social network effects in generosity through social contagion or peer effects, these platforms may instead stimulate costless (and less impactful) forms of involvement. Online social contagion might thus be limited when it comes to contributing real money to charities. This study relies on both individual-level longitu…
A Structural Model of Segregation in Social Networks
Viral Altruism? Charitable Giving and Social Contagion in Online Networks
How do social media affect the success of charitable campaigns? We show that, despite the promise of online platforms to generate social network effects in generosity through social contagion or peer effects, these platforms may instead stimulate costless (and less impactful) forms of involvement. Online social contagion might thus be limited when it comes to contributing real money to charities. This study relies on both individual-level longitu…
A Structural Model of Homophily and Clustering in Social Networks
I develop and estimate a structural model of network formation with heterogeneous players and latent community structure, whose equilibrium homophily and clustering levels match those usually observed in real-world social networks. Players belong to communities unobserved by the econometrician and have community-specific payoffs, allowing preferences to have a bias for similar people. Players meet sequentially and decide whether to form bilateral…
Spectral Estimation of Large Stochastic Blockmodels with Discrete Nodal Covariates
In many applications of network analysis, it is important to distinguish between observed and unobserved factors affecting network structure. We show that a network model with discrete unobserved link heterogeneity and binary (or discrete) covariates corresponds to a stochastic blockmodel (SBM). We develop a spectral estimator for the effect of covariates on link probabilities, exploiting the correspondence of SBMs and generalized random dot prod…
Approximate Variational Estimation for a Model of Network Formation
We develop approximate estimation methods for exponential random graph models (ERGMs), whose likelihood is proportional to an intractable normalizing constant. The usual approach approximates this constant with Monte Carlo simulations; however, convergence may be exponentially slow. We propose a deterministic method, based on a variational mean-field approximation of the ERGM's normalizing constant. We compute lower and upper bounds for the appro…
Computer Science (4 works) · Mathematics (3 works) · Statistics (3 works) · Applied Mathematics (2 works) · Econometrics (2 works) · Economics (2 works) · Exponential random graph models (2 works) · Game Theory and Applications (2 works) · Graph (2 works) · Homophily (2 works)