IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v95y2013i1d10.1007_s11192-012-0827-1.html
   My bibliography  Save this article

Transfer and distribution of knowledge creation activities of bio-scientists in knowledge space

Author

Listed:
  • Xiang Liu

    (Center for Studies of Information Resources of Wuhan University)

  • Feicheng Ma

    (Center for Studies of Information Resources of Wuhan University)

Abstract

In order to explore the rule of knowledge creation activities at both temporal and spatial scales, this paper makes statistical analysis of the time interval and spatial displacement of consecutive knowledge creation activities of high-yield, low-yield, and ASFP (all the scientists published at least four papers), respectively. The research shows that, for high-yield scientists, the time interval of knowledge creation activities obeys heavy-tailed distribution and embodies bursting features, with both long-time silence and intensive burst of creation activities. The time interval distribution of low-yield scientists is approximate to exponential distribution, and is often randomly and occasionally distributed. For ASFP, the spatial distribution of creation activities also embodies heavy-tailed features, where their activities are intensively confined to a certain knowledge field, and where long-distance exploration across the knowledge fields has also been made in knowledge creation activities.

Suggested Citation

  • Xiang Liu & Feicheng Ma, 2013. "Transfer and distribution of knowledge creation activities of bio-scientists in knowledge space," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 299-310, April.
    • Handle: RePEc:spr:scient:v:95:y:2013:i:1:d:10.1007_s11192-012-0827-1
    DOI: 10.1007/s11192-012-0827-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-012-0827-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-012-0827-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. G. M. Viswanathan & Sergey V. Buldyrev & Shlomo Havlin & M. G. E. da Luz & E. P. Raposo & H. Eugene Stanley, 1999. "Optimizing the success of random searches," Nature, Nature, vol. 401(6756), pages 911-914, October.
    2. Mohammad Hossein Biglu, 2008. "The influence of references per paper in the SCI to Impact Factors and the Matthew Effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 453-470, March.
    3. D. Brockmann & L. Hufnagel & T. Geisel, 2006. "The scaling laws of human travel," Nature, Nature, vol. 439(7075), pages 462-465, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guo Chen & Lu Xiao & Chang-ping Hu & Xue-qin Zhao, 2015. "Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 707-724, May.
    2. Hautala, Johanna & Jauhiainen, Jussi S., 2014. "Spatio-temporal processes of knowledge creation," Research Policy, Elsevier, vol. 43(4), pages 655-668.
    3. Yuandi Wang & Xin Pan & Xinyu Wang & Jin Chen & Lutao Ning & Ying Qin, 2014. "Visualizing knowledge space: a case study of Chinese licensed technology, 2000–2012," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1935-1954, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ferreira, A.S. & Raposo, E.P. & Viswanathan, G.M. & da Luz, M.G.E., 2012. "The influence of the environment on Lévy random search efficiency: Fractality and memory effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3234-3246.
    2. Toru Nakamura & Toru Takumi & Atsuko Takano & Fumiyuki Hatanaka & Yoshiharu Yamamoto, 2013. "Characterization and Modeling of Intermittent Locomotor Dynamics in Clock Gene-Deficient Mice," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-8, March.
    3. Qi, Jie & Rong, Zhihai, 2013. "The emergence of scaling laws search dynamics in a particle swarm optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1522-1531.
    4. E P Raposo & F Bartumeus & M G E da Luz & P J Ribeiro-Neto & T A Souza & G M Viswanathan, 2011. "How Landscape Heterogeneity Frames Optimal Diffusivity in Searching Processes," PLOS Computational Biology, Public Library of Science, vol. 7(11), pages 1-8, November.
    5. Tomassini, Marco, 2016. "Lévy flights in neutral fitness landscapes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 163-171.
    6. Baronchelli, Andrea & Radicchi, Filippo, 2013. "Lévy flights in human behavior and cognition," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 101-105.
    7. Alexander Maye & Chih-hao Hsieh & George Sugihara & Björn Brembs, 2007. "Order in Spontaneous Behavior," PLOS ONE, Public Library of Science, vol. 2(5), pages 1-14, May.
    8. Ndibatya, Innocent & Booysen, M.J., 2021. "Characterizing the movement patterns of minibus taxis in Kampala's paratransit system," Journal of Transport Geography, Elsevier, vol. 92(C).
    9. Filippo Radicchi & Andrea Baronchelli & Luís A N Amaral, 2012. "Rationality, Irrationality and Escalating Behavior in Lowest Unique Bid Auctions," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-8, January.
    10. Priscila C A da Silva & Tiago V Rosembach & Anésia A Santos & Márcio S Rocha & Marcelo L Martins, 2014. "Normal and Tumoral Melanocytes Exhibit q-Gaussian Random Search Patterns," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-13, September.
    11. Miguel Picornell & Tomás Ruiz & Maxime Lenormand & José Ramasco & Thibaut Dubernet & Enrique Frías-Martínez, 2015. "Exploring the potential of phone call data to characterize the relationship between social network and travel behavior," Transportation, Springer, vol. 42(4), pages 647-668, July.
    12. Moshe B Hoshen & Anthony H Burton & Themis J V Bowcock, 2007. "Simulating disease transmission dynamics at a multi-scale level," International Journal of Microsimulation, International Microsimulation Association, vol. 1(1), pages 26-34.
    13. Maxime Lenormand & Miguel Picornell & Oliva G Cantú-Ros & Antònia Tugores & Thomas Louail & Ricardo Herranz & Marc Barthelemy & Enrique Frías-Martínez & José J Ramasco, 2014. "Cross-Checking Different Sources of Mobility Information," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-10, August.
    14. Huang, Feihu & Qiao, Shaojie & Peng, Jian & Guo, Bing & Xiong, Xi & Han, Nan, 2019. "A movement model for air passengers based on trip purpose," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 798-808.
    15. Shanshan Wan & Zhuo Chen & Cheng Lyu & Ruofan Li & Yuntao Yue & Ying Liu, 2022. "Research on disaster information dissemination based on social sensor networks," International Journal of Distributed Sensor Networks, , vol. 18(3), pages 15501329221, March.
    16. Varga, Levente & Tóth, Géza & Néda, Zoltán, 2017. "An improved radiation model and its applicability for understanding commuting patterns in Hungary," MPRA Paper 76806, University Library of Munich, Germany.
    17. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2012. "Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2433-2450, December.
    18. Magdziarz, M. & Scheffler, H.P. & Straka, P. & Zebrowski, P., 2015. "Limit theorems and governing equations for Lévy walks," Stochastic Processes and their Applications, Elsevier, vol. 125(11), pages 4021-4038.
    19. Ma, Brian O. & Davis, Brad H. & Gillespie, David R. & VanLaerhoven, Sherah L., 2009. "Incorporating behaviour into simple models of dispersal using the biological control agent Dicyphus hesperus," Ecological Modelling, Elsevier, vol. 220(23), pages 3271-3279.
    20. Marina E Wosniack & Marcos C Santos & Ernesto P Raposo & Gandhi M Viswanathan & Marcos G E da Luz, 2017. "The evolutionary origins of Lévy walk foraging," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-31, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:95:y:2013:i:1:d:10.1007_s11192-012-0827-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.