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Agent-based computing from multi-agent systems to agent-based models: a visual survey

Author

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  • Muaz Niazi

    (COMSATS Institute of IT
    University of Stirling)

  • Amir Hussain

    (University of Stirling)

Abstract

Agent-based computing is a diverse research domain concerned with the building of intelligent software based on the concept of “agents”. In this paper, we use Scientometric analysis to analyze all sub-domains of agent-based computing. Our data consists of 1,064 journal articles indexed in the ISI web of knowledge published during a 20 year period: 1990–2010. These were retrieved using a topic search with various keywords commonly used in sub-domains of agent-based computing. In our proposed approach, we have employed a combination of two applications for analysis, namely Network Workbench and CiteSpace—wherein Network Workbench allowed for the analysis of complex network aspects of the domain, detailed visualization-based analysis of the bibliographic data was performed using CiteSpace. Our results include the identification of the largest cluster based on keywords, the timeline of publication of index terms, the core journals and key subject categories. We also identify the core authors, top countries of origin of the manuscripts along with core research institutes. Finally, our results have interestingly revealed the strong presence of agent-based computing in a number of non-computing related scientific domains including Life Sciences, Ecological Sciences and Social Sciences.

Suggested Citation

  • Muaz Niazi & Amir Hussain, 2011. "Agent-based computing from multi-agent systems to agent-based models: a visual survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 479-499, November.
    • Handle: RePEc:spr:scient:v:89:y:2011:i:2:d:10.1007_s11192-011-0468-9
    DOI: 10.1007/s11192-011-0468-9
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    References listed on IDEAS

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    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
    3. Haiyan Hou & Hildrun Kretschmer & Zeyuan Liu, 2008. "The structure of scientific collaboration networks in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 189-202, May.
    4. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    5. Chaomei Chen & Ray J. Paul & Bob O'Keefe, 2001. "Fitting the jigsaw of citation: Information visualization in domain analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(4), pages 315-330.
    6. Katy Börner & Shashikant Penumarthy & Mark Meiss & Weimao Ke, 2006. "Mapping the diffusion of scholarly knowledge among major U.S. research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 415-426, September.
    7. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    8. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    9. Han Woo Park & Heung Deug Hong & Loet Leydesdorff, 2005. "A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(1), pages 3-27, October.
    10. María Magdalena Sierra-Flores & María V. Guzmán & Alejandro C. Raga & I. Pérez, 2009. "The productivity of Mexican astronomers in the field of outflows from young stars," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 765-777, December.
    11. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    12. Gavin LaRowe & Sumeet Ambre & John Burgoon & Weimao Ke & Katy Börner, 2009. "The Scholarly Database and its utility for scientometrics research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 219-234, May.
    13. Albert-László Barabási, 2005. "The origin of bursts and heavy tails in human dynamics," Nature, Nature, vol. 435(7039), pages 207-211, May.
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