• DocumentCode
    578133
  • Title

    The analysis interface of dynamic network analysis for networked military organizations

  • Author

    Huang, Jincai ; Cheng, Qing ; Cheng, Guangquan ; Liu, Zhong ; Yang, Guoli

  • Author_Institution
    Sch. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changha, China
  • Volume
    2
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    549
  • Lastpage
    554
  • Abstract
    With the continual expansion of network in military fields, traditional military organizations are confronted by new challenges. There is a great need to explore new theories and models to perform dynamic network analysis for Networked Military Organizations (NMOs). We propose a notion of Matter Network Model (MNM) for NMOs, which can be regarded as the infrastructure of modeling and analyzing for complex NMOs. It is the first time that the model of mechanisms is put forward and formalized in complex NMOs. Importantly, Markov Logic Network (MLN) theory is embedded into MNM, which is used to transform NMOs into Markov networks. Embedded with MLN, MNM has the abilities to inference, and even with the uncertain information. Moreover, an analysis model of MNM is put forward, which includes the analysis framework, analysis process model and inference algorithm of MNM. The work of the paper shows promise as an effective interface of dynamic network analysis for NMO, which can be regarded a complete analysis framework for networked military organizations or be integrated other applications for networked systems ..
  • Keywords
    Markov processes; military systems; Markov logic network theory; analysis interface; analysis process model; dynamic network analysis; inference algorithm; matter network model; networked military organization; Abstracts; Analytical models; Markov processes; Dynamic Network Analysis; Indices; Markov Logic Network; Networked Military Organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6358982
  • Filename
    6358982