Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Angelo Mele"'
Publikováno v:
Sociological Science, Vol 3, Iss 11, Pp 202-238 (2016)
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 cos
Externí odkaz:
https://doaj.org/article/f3e36e908d414291b1506764fd6477a7
Publikováno v:
AEA Papers and Proceedings. 113:156-160
Professional networks affect labor market outcomes, efficiency, and knowledge diffusion. We study a large business card exchange network from Eight, a contact and career management app popular in Japan. Our empirical analysis is guided by a structura
Publikováno v:
Journal of Business & Economic Statistics. :1-13
Autor:
Co-Pierre Georg, Angelo Mele
Publikováno v:
SSRN Electronic Journal.
Autor:
Angelo Mele
Publikováno v:
Journal of Business & Economic Statistics. 40:1377-1389
Social networks display homophily and clustering, and are usually sparse. I develop and estimate a structural model of strategic network formation with heterogeneous players and latent community structure, whose equilibrium networks are sparse and ex
Autor:
Angelo Mele
Publikováno v:
American Economic Journal: Economic Policy. 12:228-257
This paper studies racial segregation in schools using data on student friendships from Add Health. I estimate an equilibrium model of friendship formation, with preferences allowing both homophily and heterophily in direct and indirect ties. I find
Autor:
Angelo Mele, Shweta Gaonkar
How do inter-organizational networks emerge? Accounting for interdependence among ties while studying tie formation is one of the key challenges in this area of research. We address this challenge using an equilibrium framework where firms' decisions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8a197d2cf1c289982e943a2a2670669
https://doi.org/10.31235/osf.io/ysbmq
https://doi.org/10.31235/osf.io/ysbmq
In network inference applications, it is often desirable to detect community structure, namely to cluster vertices into groups, or blocks, according to some measure of similarity. Beyond mere adjacency matrices, many real networks also involve vertex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50306be76f574931e70017d3f8833fee
Autor:
Angelo Mele
Publikováno v:
Econometrica. 85:825-850
This paper proposes an empirical model of network formation, combining strategic and random networks features. Payoffs depend on direct links, but also link externalities. Players meet sequentially at random, myopically updating their links. Under mi