In order 1st phenomenon for there to be meaning in 2nd phenomenon, when preceding, it causes the causal relationship between two phenomena, it is identified by causal module. Analyzing many network phenomenon, it decides causal module, whether or not those phenomena are related causal with available network traffic and appraising the preceding phenomenon elephant. Necessary memory space and both search operation, are decreased by pursuing the causal chain where network phenomenon correlates. Causal relationship between phenomenon in the causal chain where plural correlates is maintained inside that network phenomenon space by dividing the network phenomenon space in the phenomenon part space. This way, it remains with as for the phenomenon which shares the same phenomenon part space, that division part space almost causal is consistent if, fixed. Cause and effect of phenomenon from the part space which is adjacent and differs until connection of the boundary phenomenon which is shared becomes possible can be decided by deciding the individual part space vis-a-vis each inquiry phenomenon.
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