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. 2022 Feb 16;5:797584. doi: 10.3389/fdata.2022.797584

Table 4.

Experimental time complexities of 18 node centrality metrics on 3 network types.

Metric Network type
Scale-free Small-world Random
Subgraph O(n2) O(n2) O(n2log(n))
Geodesic K-Path O(n2log(n)) O(n2) O(n2log(n))
MNC O(nlog(n)) O(n2) O(nlog(n))
DMNC O(nlog(n)) O(n2) O(nlog(n))
Decay O(n2log(n)) O(n2log(n)) O(n2log(n))
Topological O(n2log(n)) O(nlog(n)) O(n)
Lobby index O(nlog(n)) O(n2) O(n2)
Coreness O(nlog(n)) O(n2) O(n3)
Leverage O(nlog(n)) O(nlog(n)) O(nlog(n))
Group O(nlog(n)) O(nlog(n)) O(nlog(n))
Wiener Index O(n2) O(n2log(n)) O(n2log(n))
K-Path O(nlog(n)) O(nlog(n)) O(nlog(n))
Diffusion degree O(nlog(n)) O(n2) O(nlog(n))
LeaderRank O(n2) O(n2) O(n3)
Laplacian O(nlog(n)) O(n2) O(nlog(n))
Local bridging O(nlog(n)) O(nlog(n)) O(nlog(n))
VoteRank O(n2) O(n3) O(n2log(n))
HeatMap O(n2log(n)) O(n2log(n)) O(n2log(n))

Situations with good scaling behaviors are shown in green while those with a quickly rising cost are shown in red.