Empirical Analysis of a Global Capital-Ownership Network

Autor:	Jesse Read, Sammy Khalife, Michalis Vazirgiannis
Rok vydání:	2019
Předmět:	Graph analytics Computer science Graph (abstract data type) Confidentiality Maximization Complex network Data science
Zdroj:	Complex Networks and Their Applications VIII ISBN: 9783030366827 COMPLEX NETWORKS (2)
DOI:	10.1007/978-3-030-36683-4_53
Popis:	Ownership relationships between legal entities can be represented as a large directed and weighted graph. This paper provides a methodology and an empirical analysis of such network, composed of millions of nodes and edges. To do so, we employ a variety of metrics from graph analytics and algorithms from influence maximization (IM). For reasons of confidentiality, our empirical analysis is carried out on aggregation at country and sector level, analysing in details the case of France. Our results offer new type of intuitions and metrics in this area by highlighting the existence of strong communities of capitalistic property. Finally, we discuss influence maximization methods as means to evaluate an entity impact in the socialistic graph.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e4afedea52ac652fd0fe2a1837cd2c3a https://doi.org/10.1007/978-3-030-36683-4_53 Zobrazit plný text záznamu