Network Shapley-Shubik Power Index: Measuring Indirect Influence in Shareholding Networks

Takayuki Mizuno, Shohei Doi*, Shuhei Kurizaki

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Extending the Shapley-Shubik power index to networks, we propose a new measure and numerical method to calculate the indirect influence of investors on companies: Network power index (NPI). While the original index, reflecting the characteristics of majority vote in a shareholders meeting, measures the direct voting power of a shareholder, NPI captures not only an investor’s direct influence over a company but also indirect influence over this company’s subsidiary. Since NPI is often incalculable in a large network, we present a new method to numerically compute NPI: label propagation. Applying this method to the global shareholding networks in 2016, we find NPIs and raw vote shares dramatically diverge for some investors and this discrepancy suggests the difference in investment strategies between governments and private financial institutions.

本文言語English
ホスト出版物のタイトルComplex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
編集者Hocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
出版社Springer
ページ611-619
ページ数9
ISBN(印刷版)9783030366827
DOI
出版ステータスPublished - 2020
イベント8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal
継続期間: 2019 12月 102019 12月 12

出版物シリーズ

名前Studies in Computational Intelligence
882 SCI
ISSN(印刷版)1860-949X
ISSN(電子版)1860-9503

Conference

Conference8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
国/地域Portugal
CityLisbon
Period19/12/1019/12/12

ASJC Scopus subject areas

  • 人工知能

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