How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 2) = 2
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 2 [Cook Islands] *
6 [Hamilton City] *
1 [Niue] *
9 [Ross Dependency] *
16 [Tokelau] *
196 [Moana] *
9 [Nicole Scherzinger] *
100 [Alan Tudyk] *
64 [Jemaine Clement] *
36 [Temuera Morrison] *
4 [Rachel House] *
9 [Chris Jackson] *
1 [Louise Bush] *
1 [Mason Dinar] *
4 [Oscar Kightley] *
1 [Puanani Cravalho] *
4 [Troy Polamalu] *
4 [Auli'i Cravalho] *
110 [Dwayne Johnson] *
35 [New Zealand] *
2 [wellington]
)
= 2.49 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 2 [Cook Islands] *
1.5 [Hamilton City] *
1 [Niue] *
1 [Ross Dependency] *
1 [Tokelau] *
1 [Moana] *
1 [Nicole Scherzinger] *
1 [Alan Tudyk] *
1 [Jemaine Clement] *
1 [Temuera Morrison] *
1 [Rachel House] *
1 [Chris Jackson] *
1 [Louise Bush] *
1 [Mason Dinar] *
1 [Oscar Kightley] *
1 [Puanani Cravalho] *
1 [Troy Polamalu] *
1 [Auli'i Cravalho] *
0.9091 [Dwayne Johnson] *
0.7143 [New Zealand] *
0.5 [wellington]
)
= 1.95
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
0.32%
(2.49 × 1019 overall)
Dominant nodes (excluded from chart)Moana 31.82%Dwayne Johnson 17.86%Alan Tudyk 16.23%Jemaine Clement 10.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
