Addressing the Practical Challenge of Driving Influence Weight Ratio Allocation

As mentioned earlier, to make M approach M(MAX), individuals with higher G’% should be assigned higher A values. However, determining how Driving Influence (A), as a measure of driving influence, can be applied to drive the network and ensure that individuals with high G’% have greater influence is a design challenge.

According to the framework, in the main or subordinate networks of the Intelligent Consortium, Driving Nodes (except Action Nodes at the network’s output end) exert influence through diverse forms, including but not limited to suggestions, voting, supervision, and appointments. For many driving forms like supervision or suggestions, it is difficult for the network to mandate that Action Node individuals prioritize or value the supervision or suggestions from Driving Nodes with high G’% or disregard those from nodes with low G’%. Thus, deriving a high Driving Influence Weight Ratio for Driving Nodes from high G’% faces practical challenges.