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Flows of Knowledge in Citation Networks [chapter]

Benjamin Renoust, Vivek Claver, Jean-François Baffier
2016 Studies in Computational Intelligence  
We propose then to analyze flows of influence in a citation networks as an ascending flow.  ...  Our results validate the use of DAG flows for citation flows and show evidence of the relevance of the h-index.  ...  in parallel (because knowledge does not flow equally in all citation sources).  ... 
doi:10.1007/978-3-319-50901-3_13 fatcat:3lqhgzuu3zcuhitieajsidq7ry

Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network

Inchae Park, Byungun Yoon
2018 Journal of Informetrics  
The potential TKFs are predicted by a link prediction method in a directed network, which is suggested in this paper to represent the direction of the predicted TKFs by adapting the concept of bibliographic  ...  Converging technological opportunities are proposed as incremental and radical technological opportunities by extracting the potential increased knowledge flow links and emerging knowledge flow links.  ...  Acknowledgments This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2017R1D1A1 A09000758) and Dongguk University (S-2018-G0001-00034).  ... 
doi:10.1016/j.joi.2018.09.007 pmid:32336982 pmcid:PMC7172972 fatcat:pxyw62onsbcrlbsy3lenynjjqy

Knowledge Sharing and Value Flow in the Software Industry: Searching the Patent Citation Network

D. Dreyfus, B. Iyer
Proceedings of the 38th Annual Hawaii International Conference on System Sciences  
In order to explore the relationship between own-knowledge development and search, we examine the relationship between software firms' R&D investments and their position within the patent citation network  ...  The results show that a firm's position within the knowledge flow of the industry helps predict knowledge development and financial performance. 0-7695-2268  ...  within the knowledge flow network.  ... 
doi:10.1109/hicss.2005.379 dblp:conf/hicss/DreyfusI05 fatcat:wzpwwyk7lbf3nlubgnexgnbesu

Discovery of knowledge flow in science

Hai Zhuge
2006 Communications of the ACM  
A knowledge flow spiral can generate and generalize knowledge during the processing and recycling of The knowledge flow network implicit in the citation network consists of KNOWLEDGE FLOWS BETWEEN NODES  ...  Knowledge flows through the citation network without constraint. Scientists can publish in several areas, and thus be involved in different knowledge flow networks.  ... 
doi:10.1145/1125944.1125948 fatcat:cf4sobo2kngtfdoa4izvbttiaa

Innovation Networks and Knowledge Flows Across the European Regions

Raffaele Paci, Ernesto Batteta
2004 Social Science Research Network  
Then, we have examined in-and out-flows of patent citations as proxy of knowledge spillovers.  ...  Our analysis shows the huge differences that exist among high tech and traditional sectors in the complexity of technological networks and in the geographical distribution of knowledge flows. 1 We have  ...  in the network and thus they represent crucial nodes of the knowledge flows.  ... 
doi:10.2139/ssrn.498342 fatcat:j24rwsewobbr3g2kbxd7mrce6a

Using path-based approaches to examine the dynamic structure of discipline-level citation networks: 1997-2011

Erjia Yan, Qi Yu
2015 Journal of the Association for Information Science and Technology  
The objective of this paper is to identify the dynamic structure of several time-dependent discipline-level citation networks through a path-based method.  ...  A network data set is prepared that comprises 27 subjects and their citations aggregated from more than 27,000 journals and proceedings indexed in the Scopus database.  ...  Qi Yu was supported by the National Natural Science Foundation of China as part of the project "Cooperation Analysis of Technology Innovation Team Member Based on Knowledge Network -Empirical Evidence  ... 
doi:10.1002/asi.23516 fatcat:jifsd57bpjhfhhzqpabudzmsvy

Multiplex flows in citation networks

Benjamin Renoust, Vivek Claver, Jean-François Baffier
2017 Applied Network Science  
We propose then to analyze flows of influence in a citation networks as an ascending flow.  ...  In this network, each citation of a specific work constitutes one layer of interaction.  ...  Authors' information BR is a post-doctoral researcher at the National Institute of Informatics (NII), Japan, and at the CNRS UMI 3527 Japanese-French Laboratory for Informatics (JFLI), Japan.  ... 
doi:10.1007/s41109-017-0035-2 pmid:30443578 pmcid:PMC6214274 fatcat:hhzqqiymqjekvpzvrbc2hgf7ie

FEATURES OF THE DISCIPLINE KNOWLEDGE NETWORK: EVIDENCE FROM CHINA

Wei Shan, Chen Liu, Jing Yu
2014 Technological and Economic Development of Economy  
Citation analysis is first used to measure the flow of knowledge between disciplines to build a discipline knowledge network.  ...  The tail of the degree distribution of this discipline knowledge network is in concordance with exponential distribution. The network has also a distinct hierarchical structure.  ...  Acknowledgment The authors are very grateful for the insightful comments and suggestions of the anonymous reviewers and Associate Editor Jonas Šaparauskas, which have helped to significantly improve this  ... 
doi:10.3846/20294913.2014.825460 fatcat:m7rgmb553vbprowxbfma6qb354

Study on the measurement of international knowledge flow based on the patent citation network

Xuanting Ye, Jian Zhang, Yun Liu, Jun Su
2015 International Journal of Technology Management  
The flow of knowledge and technology generated by patent citation has an important role for making continuous exploration and extension of science and technology.  ...  method for measuring the knowledge flow.  ...  The end point of the edge represents the country of knowledge flow in, which is the country of citing patent.  ... 
doi:10.1504/ijtm.2015.072971 fatcat:4kl6yuncqbhjtlycny5hrz3ecu

Finding knowledge paths among scientific disciplines [article]

Erjia Yan
2013 arXiv   pre-print
This study constructs a knowledge flow network in that a node represents a Journal Citation Report subject category and a link denotes the citations from one subject category to another.  ...  Using the concept of shortest path, several quantitative measurements are proposed and applied to a knowledge flow network.  ...  Cassidy Sugimoto of Indiana University for their comments on an earlier draft and an informal presentation of this paper.  ... 
arXiv:1309.2546v1 fatcat:4igsrvqs4fhc3aykwcwiebogj4

Collaborative Networks as Determinants of Knowledge Diffusion Patterns

Jasjit Singh
2005 Management science  
In fact, being in the same region or firm is found to have little additional effect on the probability of knowledge flow among inventors who already have close network ties.  ...  I measure knowledge flows using patent citation data, and employ a novel regression framework based on choice-based sampling to estimate the probability of knowledge flow between inventors of any two patents  ...  Accounting for collaborative networks leads to a significant drop in the effect of firm boundaries on the probability of knowledge flow between two teams of inventors.  ... 
doi:10.1287/mnsc.1040.0349 fatcat:vtal3xfoujb35d3u5tzcbzmsie

Comparing the International Knowledge Flow of China's Wind and Solar Photovoltaic (PV) Industries: Patent Analysis and Implications for Sustainable Development

Yuan Zhou, Meijuan Pan, Frauke Urban
2018 Sustainability  
clustering of patent citation network); (ii) inter-firm explicit knowledge flow (patent citation network of key firms); and, (iii) inter-firm tacit knowledge flow (by desktop research and interviews).  ...  The analysis of global knowledge networks and the role of key firms as being the generator/recipient of knowledge flows or the partners in cooperation can help to better understand the firm's global knowledge  ...  [20] , nodes in the networks represent key firms, while links are the cumulative citations in-between, meaning the knowledge flows between firms in terms of citations (excluding self-citations).  ... 
doi:10.3390/su10061883 fatcat:s235avimj5g2fpxrqsrjwfty5m

Global Multi-Level Analysis of the 'Scientific Food Web'

Amin Mazloumian, Dirk Helbing, Sergi Lozano, Robert P. Light, Katy Börner
2013 Scientific Reports  
The network-based approach proposed here assumes the existence of a 'scientific food web' that interconnects academic entities via knowledge flows.  ...  Compared to measures of scientific production and consumption such as number of publications or citation rates, our network-based citation analysis offers a more differentiated picture of the 'ecosystem  ...  This work started while KB was a Visiting Scientist at the ETH Zürich in 2011. We acknowledge Thomson ISI as required by the terms of use of our WoS data license.  ... 
doi:10.1038/srep01167 pmid:23378902 pmcid:PMC3558694 fatcat:5n2gidun2vfl3hynlgfc4l2cra

Finding knowledge paths among scientific disciplines

Erjia Yan
2014 Journal of the Association for Information Science and Technology  
This paper discovers patterns of knowledge dissemination among scientific disciplines.  ...  Cassidy Sugimoto of Indiana University for their comments on an earlier draft and an informal presentation of this paper.  ...  Loet Leydesdorff of the University of Amsterdam for providing access to the data set. The author would also like to thank Dr. Ying Ding, Dr. Katy Börner, and Dr.  ... 
doi:10.1002/asi.23106 fatcat:4qw7ea4gwnhkzmvw23w3rxfvda

Authors at the boundary: Interaction of local and general scientific literature

Cigdem Baskici, Suat Atan, Yavuz Ercil
2018 Malaysian Journal of Library & Information Science  
To this end, this study examines roles undertaken by authors in the field of learning organizations. Identifying role typologies first requires revealing the author citation network in the field.  ...  Citation network is a matrix that summarizes citations and citation numbers between authors.  ...  ACKNOWLEDGEMENT This research received no specific grant from any funding agency in the public, commercial, or not-for profit sectors.  ... 
doi:10.22452/mjlis.vol23no3.2 fatcat:6au5dmdhkne5xg5ksnzsjig4d4
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