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 decision support infrastructure of modeling and analyzing of complex NMOs.It is the first time that the model of mechanisms is put forward and formalized for 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 abilitiesrnto inference, and even with the uncertain information. We also give the generic decision indices of MNM, based on the OODA model. Moreover, a decision model of MNM is put forward,which includes the decision support framework, decision process model and decision algorithm of MNM. In the end, a validation example and complexity analysis of the algorithm are talked about. The works of the paper show promise as an effective decision framework for N11I0 by performing dynamic network analysis, which can be viewed as a complete decision framework for networked military organizations or be integrated other applications for networked systems.
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