Table S1.

List of studied (edge) properties of actin and Golgi flow networks

Property	Symbol	Explanation/interpretation	Eq.
Actin network edge $e$
Euclidean edge length	$a_{e,E}$	Linear distance between end points of filament segment	—
Filament edge length	$a_{e,F}$	Arc length of filament segment	—
Filament bending	$a_{e,B}$	Ratio of filament and Euclidean edge lengths	S7
		Bending or convolutedness of filament segment
Edge weight	$a_{e,w}$	Total intensity along filament segment	—
Edge capacity	$a_{e,c}$	Average intensity per unit length along filament segment	S8
		Average thickness of actin bundles
Edge length	$a_{e,l}$	Inverse edge capacity used to compute shortest paths	S9
Edge angle	$a_{e,a}$	Angle between edge and major cell axis	S10
		Alignment of AFs and bundles
Edge degree	$a_{e,\mathrm{deg}}$	Total thickness of neighboring edges	S18
		Prevalence of surrounding AFs and bundles
Edge rank	$a_{e,\mathrm{rank}}$	Page rank of given edge	S19
		Probability that cargo is found at given filament segment when cargo randomly switches
		between filaments and preferably targets thicker bundles
Edge path betweenness	$a_{e,\mathrm{path}}$	No. of shortest paths through given edge	S20
		Importance of filament segment when cargo between any
		two nodes is transported preferably along thick bundles
Edge flow betweenness	$a_{e,\mathrm{flow}}$	total maximum flow through given edge	S21
		Importance of filament segment when bundle thickness limits the amount of cargo per edge and
		the cytoskeleton transports maximum amounts of cargo between any two nodes
Actin network
Conn. Comp.	$F$	No. of strongly connected patches of actin bundles	S11
		Fragmentation
Avg. edge capacity	$\mathrm{E}\left[a_c\right]$	Prevalence of thick actin bundles	S12
		Bundling
Assortativity	$A$	Degree of clustering or mixing of fine AFs and thick bundles	S13
		Heterogeneity
Avg. Shortest path length10.2	$\mathrm{E}\left[L\right]$	Average effective distance between any two nodes when thicker bundles transport cargo faster	S14
		Reachability
$\mathrm{CV}$ of shortest path lengths	$\mathrm{CV}\left[L\right]$	Variability of effective distances between any two nodes	S15
		Dispersal
Algebraic connectivity	$C$	Robustness of cargo transport against disruptions of AFs and bundles,	S16
		i.e., reliability and redundancy of transport routes
		Robustness
Edge angles	$\mathrm{CV}\left[a_a\right]$	Alignment of AFs and bundles with major cell axis	S17
		Contortion
Golgi flow network edge $e$
Number	$g_{e,n}$	No. of close-by Golgi	S23
Wiggling	$g_{e,w}$	Average relative angle of movement of close-by Golgi	S24
Intensity	$g_{e,i}$	Average intensity of close-by Golgi	S25
Direction	$g_{e,d}$	Average angle between edge and movement of close-by Golgi	S26
Velocity	$g_{e,v}$	Average velocity of close-by Golgi	S27
Combinations	e.g., $g_{e,d+v}$	Average velocity of close-by Golgi along edge direction	S28

Please refer to SI Text for detailed explanations. In the top section, shown are edge properties of actin networks that were used to compare networks across conditions and time and to predict organelle flow (see bottom section). Some edge properties are local (a_e,E to ae;a) whereas some consider the role of the edge in the network context (a_e,deg to a_e,flow). In the middle section, shown are properties of the actin network that were used for quantification of cytoskeletal phenotypes and assessment of transport efficiency. In the bottom section, shown are edge properties of the Golgi flow network derived from Golgi tracking data, taking into account numbers, intensities, velocities, and directions of Golgi as well as combinations thereof.