Skip to main content
. 2022 Apr 4;14:100228. doi: 10.1016/j.pdisas.2022.100228

Table 3.

Summary of centrality parameter interpretation (adapted from [34]).

Centrality parameter Description Justification
Degree centrality The number of a network actor's direct contacts This parameter is useful in evaluating the ability of an actor to contact others in the network directly.
Closeness centrality Indicates how closely a member is connected to all other members in the network This parameter helps to identify the actors who take a central position in the network and can communicate with the help of a few intermediaries
Betweenness centrality Evaluate actors who mediate more connections in the
network (network controllers)
This parameter indicates the degree of control a member has over the information flow based on his position in the network
Eigenvector centrality Measures the node influence in a network This parameter helps to identify most influential nodes in the communication network