Examining the small world phenomenon in the patent citation network: a case study of the radio frequency identification (RFID) network

Shiu-Wan Hung; An-Pang Wang

doi:10.1007/s11192-009-0032-z

Scientometrics

Volume/Issue:: Volume 82: Issue 1

Examining the small world phenomenon in the patent citation network: a case study of the radio frequency identification (RFID) network

Authors:

Shiu-Wan Hung

Shiu-Wan Hung Department of Business Administration, National Central University, 300, Jung-Da Road, Jung-Li City, Tao-Yuan 320, Taiwan

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and

An-Pang Wang

An-Pang Wang Department of Business Administration, National Central University, 300, Jung-Da Road, Jung-Li City, Tao-Yuan 320, Taiwan

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Pages:: 121–134

Online Publication Date:: 10 Jun 2009

Publication Date:: 01 Jan 2010

Article Category:: Research Article

DOI:: https://doi.org/10.1007/s11192-009-0032-z

Keywords:: Small world network; Radio frequency identification; Patent citation; Betweenness centrality

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Abstract

Despite strategic research has been done in recent years to study how network topology shapes the evolution of competition in various industries, previous researches do not investigate the importance of high betweenness point on the connectivity of patent citation networks. The goal of this report is to examine and characterize the small world phenomenon in the patent citations network by analyzing the data of RFID patents. The results suggest that the patent citation network can indeed be characterized as “small world”. Additionally, the patent citation network resembles the power-law connectivity distribution and exhibits preferential connectivity behavior. In other words, a few key patents have a great many more connections than the majority of patents with few connections. Furthermore, the patents of high betweenness centrality were identified. It is found that 81% of the patent citation activities have relations with the patents of high betweenness centrality. The result of this analysis will provide a specific way for managers to identify key patents, to map their own patent deployment and to derive insight into the best ways to navigate within such networks.

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Scientometrics

Print ISSN:: 0138-9130

Online ISSN:: 1588-2861

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Scientometrics
Language	English
Size	B5
Year of Foundation	1978
Volumes per Year	1
Issues per Year	12
Founder	Akadémiai Kiadó
Founder's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher	Akadémiai Kiadó Springer Nature Switzerland AG
Publisher's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245. CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible Publisher	Chief Executive Officer, Akadémiai Kiadó
ISSN	0138-9130 (Print)
ISSN	1588-2861 (Online)