Table 1.

Graph metrics used in the study.

Assortativity	A correlation coefficient between degrees of all nodes between pair of nodes. When assortativity is positive it indicates that nodes tend to connect to other nodes with same or similar degree.
Betweenness centrality	High values indicate that nodes participate in a greater number of shortest paths.
Characteristic path length (local)	Average shortest path length of a node to the rest of the network.
Clustering coefficient	The fraction of a nodes neighbours which are also neighbours of each other. This is zero if nodes are isolated or only connect with one other node.
Degree	Total number of links connected to a node.
Density	A fraction of present connections to all possible connections in a network.
Network global efficiency	Average inverse shortest path length in the network.
Network local efficiency	This is calculated as global efficiency on node neighbourhoods.
Small-worldness	Measures the extent of how tightly clustered the network is.