A structural analysis of the patent citation network by the k-shell decomposition method
Konstantinos Angelou,
Michael Maragakis and
Panos Argyrakis
Physica A: Statistical Mechanics and its Applications, 2019, vol. 521, issue C, 476-483
Abstract:
We study the patent citation network by means of structural analysis. Specifically, we use the k-shell decomposition method to reveal hidden structural properties. We aim to identify the characteristics of the most important nodes in the network, as well as extract any existing patterns in the connectedness of these nodes. We examine properties of the nodes such as the geographic origin and the thematic area they belong. Results yield unexpected information on which are the most important nodes in the network, and how these nodes are geographically and thematically distributed.
Keywords: Patent; Patent citation network; k-shell decomposition; Network structure (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119300512
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:521:y:2019:i:c:p:476-483
DOI: 10.1016/j.physa.2019.01.063
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().