Nataša Kejžar (Author)

Abstract

The NBER network of U.S. patents from 1963 to 1999 (Hall, Jaffe, Tratjenberg 2001, USPTO) is an example of a very large citation network (3774768 vertices and 16522438 arcs). Using islands algorithm (Zaveršnik, Batagelj, 2004) for the Search Path Count (SPC) weights (Hummon and Doreian 1989; Batagelj 2003) the most powerful theme in the entire network was determined. From this we selected a group of companies and categories that appeared and split the entire network into subnetworks according to selected companies and technological categories. We study the general trends and features of the subnetworks over the past thirty-seven years. We propose another approach for studying patents' network as a temporal network. Vertices from the same category in the same time slice are shrunk and then the obtained smaller networks over time are studied. By studying development patterns of the network over time we are trying to determine the general trends in the research and development for the selected companies and categories over the past three decades.

Keywords

Patenti;Omrežja;Združene države Amerike;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FDV - Faculty of Social Sciences
Publisher: Fakulteta za družbene vede
UDC: 303
COBISS: 24314973 Link will open in a new window
ISSN: 1854-0023
Views: 656
Downloads: 134
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Unknown
Secondary keywords: Patents;Networks;United States of America;
URN: URN:NBN:SI
Type (COBISS): Not categorized
Pages: str. 195-208
Volume: ǂVol. ǂ2
Issue: ǂno. ǂ2
Chronology: 2005
Keywords (UDC): social sciences;družbene vede;methods of the social sciences;metode družbenih ved;
ID: 1467967
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