I have a network of states, each linked with neighboring states by unique forward and reverse transition rates ($k_{f}$ and $k_{r}$) - let's just say these are chemical species with multiple intermediate reactants and reversible intermediate reactions. At long timescales, this system will reach a stationary distribution or thermodynamic equilibrium where forward and reverse transition rates are balanced by corresponding occupancy of each state, and it is typical to characterize the system with an equilibrium constant $K_{eq}$ for each reversible transition e.g. $K_{1} = \frac{k_{-1}}{k_1}$. My question is about how one goes about legally aggregating or combining these states to deal with hidden variables and apparent rates. In the example below, let us say that states B,C,D,and E are all within a black box and only flux from A into this collection of states can be measured (i.e. an apparent equilibrium constant). What exactly are the rates comprising this apparent constant? Or how could one form an expression for that apparent equilibrium constant by combining the constituent equilibrium constants?
I am familiar with a related example of how this is done in a simpler case of $X \underset{k_{-1}}{\stackrel{k_1}{\rightleftharpoons}} Y \underset{k_{-2}}{\stackrel{k_2}{\rightleftharpoons}} Z$ where an overall equilibrium constant from X to Z is simply the sum of the constituent constants for X to/from Y and Y to/from Z. However I do not know how to generalize to more complex topologies such as the one below (which contains cycles for example). I vaguely suspect that there is an analogy to Ohm's law somewhere here and the procedure for adding currents in parallel circuits.
$A \underset{k_{-1}}{\stackrel{k_1}{\rightleftharpoons}} B$;
$A \underset{k_{-2}}{\stackrel{k_2}{\rightleftharpoons}} C$;
$B \underset{k_{-3}}{\stackrel{k_3}{\rightleftharpoons}} D$;
$C \underset{k_{-4}}{\stackrel{k_4}{\rightleftharpoons}} D$;
$B \underset{k_{-5}}{\stackrel{k_5}{\rightleftharpoons}} E$;
$C \underset{k_{-6}}{\stackrel{k_6}{\rightleftharpoons}} E$