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  Modelling the Large and Dynamically Growing Bipartite Network of German Patents and Inventors

Fritz, C., De Nicola, G., Kevork, S., Harhoff, D., & Kauermann, G. (2023). Modelling the Large and Dynamically Growing Bipartite Network of German Patents and Inventors. Journal of the Royal Statistical Society: Series A - Special issue on "Networks and Society", forthcoming.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-826D-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-8270-2
Genre: Journal Article

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Locator:
https://doi.org/10.48550/arXiv.2201.09744 (Preprint)
Description:
Also published as arXiv preprint 2201.09744
OA-Status:
Not specified

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 Creators:
Fritz, Cornelius1, Author
De Nicola, Giacomo 1, Author
Kevork, Sevag1, Author
Harhoff, Dietmar2, Author           
Kauermann, Göran1, Author
Affiliations:
1External Organizations, ou_persistent22              
2MPI for Innovation and Competition, Max Planck Society, ou_2035292              

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Language(s): eng - English
 Dates: 2023
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: Journal of the Royal Statistical Society: Series A - Special issue on "Networks and Society"
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: forthcoming Identifier: ISSN: 0035-9238
ISSN: 0964-1998
ZDB: 204794-9