Table 2.

Summary of Network Measures

Type	Measure	Definition	Clinical Meaning	Equation
Macroscopic	Density	Avg. of all the edge weights in the network	To what extent symptoms in the network are interconnected	$D=\frac{2\ast \sum _{i,j\in V}{w}_{ij}}{N(N-1)}$
	Harmonic mean shortest path length	Avg. shortest path length between all nodes	Level of information efficiency in the network	$L=\frac{N(N-1)}{\sum _{i,j\in V}\frac{1}{d(i,j)}}$
	Avg. clustering coefficient	Overall clustering in the network	To what extent symptoms tend to cluster together	$AvgCC=\frac{\sum _i{C}_i}{N}$ $\mathrm{C}{\mathrm{C}}_{\mathrm{i}}=\frac{1}{k_i(k_i-1)}\sum _{u,v\in V}{(w_{iu}{w}_{iv}{w}_{uv})}^{\frac{1}{3}}$
Microscopic	Degree centrality	Sum of the edge weights connected to a node	Level of connectivity of a symptom in the network	$k_i=\frac{\sum _{j\in V}{w}_{ij}}{N-1}$
	Harmonic mean closeness centrality	Distance of a node to all other nodes in the network	How quickly one symptom reaches other symptoms	$C_i=\sum _{j\in V}\frac{1}{d(i,j)}$

Note: i, j, u,v = Node (BNSS Symptom) Index; N = total number of nodes; V is the set of all nodes in the network; wij, wiu, wiv = weight between nodes i and j, i and u, i and v; d(i,j) = shortest path between nodes i and j calculated based on inverse of their weight (1/wij) ; ki and kj = degrees of nodes i and j.