Zobrazeno 1 - 10
of 97
pro vyhledávání: '"ARCAGNI, ALBERTO"'
Publikováno v:
European Journal of Operational Research 2024
This paper proposes a new class of assortativity measures for weighted and directed networks. We extend the classical Newman's degree-degree assortativity by considering nodes' attributes different from the degree. Moreover, we propose connections am
Externí odkaz:
http://arxiv.org/abs/2304.01737
Publikováno v:
In European Journal of Operational Research 1 July 2024 316(1):215-227
Publikováno v:
In Computational Statistics and Data Analysis September 2022 173
Publikováno v:
Eur.J.Oper.Res. 262 (2017) 708-719
Assortativity was first introduced by Newman and has been extensively studied and applied to many real world networked systems since then. Assortativity is a graph metrics and describes the tendency of high degree nodes to be directly connected to hi
Externí odkaz:
http://arxiv.org/abs/1602.03650
Publikováno v:
In Journal of Business Research May 2021 129:774-783
Autor:
Fattore, Marco, Arcagni, Alberto
Publikováno v:
Social Indicators Research, 2019 Jul 01. 144(1), 1-29.
Externí odkaz:
https://www.jstor.org/stable/48704499
Autor:
Arcagni, Alberto1 (AUTHOR), Candila, Vincenzo1 (AUTHOR), Grassi, Rosanna2 (AUTHOR) rosanna.grassi@unimib.it
Publikováno v:
Annals of Operations Research. Jun2023, Vol. 325 Issue 1, p615-632. 18p.
Publikováno v:
Social Indicators Research, 2019 Jan 01. 141(2), 551-579.
Externí odkaz:
https://www.jstor.org/stable/48704078
Autor:
Fattore, Marco, Arcagni, Alberto
Publikováno v:
Social Indicators Research, 2018 Apr 01. 136(3), 1053-1070.
Externí odkaz:
https://www.jstor.org/stable/48715416
Publikováno v:
Statistics in Transition. New Series. 16(3):409-428
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=441327