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Reference-based publication networks with episodic memories

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  • Anthony F. J. van Raan

    (Centre for Science and Technology Studies, Leiden University)

Abstract

Summary In this paper we report first results of our study on network characteristics of a reference-based, bibliographically coupled (BC) publication network structure. We find that this network of clustered publications shows different statistical properties depending on the age of the references used for building the network. A remarkable finding is that only the network based on all references within publications is characterized by a degree distribution with a power-law dependence. This structure, which is typical for scale-free networks, disappears when selecting references of a specific age for the clustering process. Changing the publication network as a function of reference age, allows 'tuning through the episodic memory' of the nodes of the network. We find that the older the references, the more the network tends to change its structure towards a more exponential degree distribution.

Suggested Citation

  • Anthony F. J. van Raan, 2005. "Reference-based publication networks with episodic memories," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(3), pages 549-566, June.
    • Handle: RePEc:spr:scient:v:63:y:2005:i:3:d:10.1007_s11192-005-0227-x
    DOI: 10.1007/s11192-005-0227-x
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    Cited by:

    1. C.M. Calero Medina & T.N. Leeuwen, 2012. "Seed journal citation network maps: A method based on network theory," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1226-1234, June.
    2. Sándor Soós, 2014. "Age-sensitive bibliographic coupling reflecting the history of science: The case of the Species Problem," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 23-51, January.
    3. van der Have, Robert P. & Rubalcaba, Luis, 2016. "Social innovation research: An emerging area of innovation studies?," Research Policy, Elsevier, vol. 45(9), pages 1923-1935.
    4. Ali Gazni & Fereshteh Didegah, 2016. "The relationship between authors’ bibliographic coupling and citation exchange: analyzing disciplinary differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 609-626, May.
    5. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    6. M. Meyer & K. Debackere & W. Glänzel, 2010. "Can applied science be ‘good science’? Exploring the relationship between patent citations and citation impact in nanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 527-539, November.

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