Inter-country knowledge flows in virtualization technologies: Patent citation network

2014 ◽  
Author(s):  
Hongseok Jeon ◽  
Bhumcheol Lee
Keyword(s):  
Citation Network ◽  
Patent Citation ◽  
Knowledge Flows ◽  
Patent Citation Network

scholarly journals Knowledge Diffusion and the Dynamics of Citation Accrual

2021 ◽  
Author(s):  
◽  
Kyle William Higham
Keyword(s):  
Preferential Attachment ◽  
Citation Count ◽  
Citation Network ◽  
Patent Citation ◽  
Knowledge Flows ◽  
Common Element ◽  
Scientific Article ◽  
Codified Knowledge ◽  
Diffusion Of Knowledge ◽  
Patent Citation Network

<p>The diffusion of knowledge through society proceeds like an invisible ripple that moves between agents through multiple information channels. However, some types of knowledge are recorded, systematised and digitised for the benefit of everyone. Patents and academic articles are examples of such codified knowledge. These documents also contain a common element that is utilised for linking new and established knowledge: citations.  This thesis harnesses citations in patents and scientific articles as proxies for signifying the existence of knowledge flows between cited and citing documents, focusing primarily on the dynamics of citation accumulation and the mechanisms governing these dynamics. For this purpose, it is helpful to think of patents and their citations as nodes and links, respectively, in a network where new nodes join the network and distribute their citations among existing nodes. This mode of thinking leads directly to the question: How does the citation network grow? This thesis addresses that question both empirically and theoretically.  Two mechanisms that can explain much of the observed citation dynamics are preferential attachment and node ageing. The former mechanism reflects the tendency for successful nodes (by citation count) to become even more successful, while the latter captures the propensity for knowledge to become obsolete over time. The independence of these phenomena is nontrivial, but has generally been assumed. We put this assumption to the test for both patent and scientific-article citation networks and found it to be generally true if precautions are taken to account for important context surrounding the meaning of citations. Achieving a clear separation of these mechanisms is found to be very useful both mathematically and empirically, as they can now be studied independently.  Patents are particularly sophisticated documents, with various components holding specific legal meanings. Associating certain properties of these components with popularity in the form of citation accrual creates a rare opportunity to build a framework that can identify ex-ante node fitnesses and examine their effect on the growth of a citation network. We find that a significant portion of the preferential-attachment process observed in the patent-citation network can be attributed to basic properties of patents determined by their time of grant. Besides suggesting novel approaches towards estimating patent quality, the results of our work also provide a platform for gaining a deeper understanding of the various mechanisms that underpin the success-breeds-success dynamics ubiquitously observed in complex systems.</p>

scholarly journals Knowledge Diffusion and the Dynamics of Citation Accrual

2021 ◽  
Author(s):  
◽  
Kyle William Higham
Keyword(s):  
Preferential Attachment ◽  
Citation Count ◽  
Citation Network ◽  
Patent Citation ◽  
Knowledge Flows ◽  
Common Element ◽  
Scientific Article ◽  
Codified Knowledge ◽  
Diffusion Of Knowledge ◽  
Patent Citation Network

<p>The diffusion of knowledge through society proceeds like an invisible ripple that moves between agents through multiple information channels. However, some types of knowledge are recorded, systematised and digitised for the benefit of everyone. Patents and academic articles are examples of such codified knowledge. These documents also contain a common element that is utilised for linking new and established knowledge: citations.  This thesis harnesses citations in patents and scientific articles as proxies for signifying the existence of knowledge flows between cited and citing documents, focusing primarily on the dynamics of citation accumulation and the mechanisms governing these dynamics. For this purpose, it is helpful to think of patents and their citations as nodes and links, respectively, in a network where new nodes join the network and distribute their citations among existing nodes. This mode of thinking leads directly to the question: How does the citation network grow? This thesis addresses that question both empirically and theoretically.  Two mechanisms that can explain much of the observed citation dynamics are preferential attachment and node ageing. The former mechanism reflects the tendency for successful nodes (by citation count) to become even more successful, while the latter captures the propensity for knowledge to become obsolete over time. The independence of these phenomena is nontrivial, but has generally been assumed. We put this assumption to the test for both patent and scientific-article citation networks and found it to be generally true if precautions are taken to account for important context surrounding the meaning of citations. Achieving a clear separation of these mechanisms is found to be very useful both mathematically and empirically, as they can now be studied independently.  Patents are particularly sophisticated documents, with various components holding specific legal meanings. Associating certain properties of these components with popularity in the form of citation accrual creates a rare opportunity to build a framework that can identify ex-ante node fitnesses and examine their effect on the growth of a citation network. We find that a significant portion of the preferential-attachment process observed in the patent-citation network can be attributed to basic properties of patents determined by their time of grant. Besides suggesting novel approaches towards estimating patent quality, the results of our work also provide a platform for gaining a deeper understanding of the various mechanisms that underpin the success-breeds-success dynamics ubiquitously observed in complex systems.</p>

Exploring key transformism properties of patent citation network: the base of hybrid rice

2012 ◽  
Author(s):  
Tianhua Song ◽  
Guang Yu ◽  
Chunsheng Shi ◽  
Hui Zhou ◽  
Bo Zou
Keyword(s):  
Hybrid Rice ◽  
Citation Network ◽  
Patent Citation ◽  
Patent Citation Network

scholarly journals How do new use environments influence a technology's knowledge trajectory? A patent citation network analysis of lithium-ion battery technology

2021 ◽  
Vol 50 (9) ◽  
pp. 104318
Author(s):  
Abhishek Malhotra ◽  
Huiting Zhang ◽  
Martin Beuse ◽  
Tobias Schmidt
Keyword(s):  
Network Analysis ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Citation Network ◽  
Patent Citation ◽  
Citation Network Analysis ◽  
Patent Citation Network ◽  
Battery Technology

A structural analysis of the patent citation network by the k-shell decomposition method

2019 ◽  
Vol 521 ◽  
pp. 476-483 ◽  
Author(s):  
Konstantinos Angelou ◽  
Michael Maragakis ◽  
Panos Argyrakis
Keyword(s):  
Structural Analysis ◽  
Decomposition Method ◽  
Citation Network ◽  
Patent Citation ◽  
Patent Citation Network
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