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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 1 [James Johnson] *
25 [Tony Burton] *
324 [Assault on Precinct 13] *
9 [Charles Cyphers] *
4 [Frank Doubleday] *
1 [Al Nakauchi] *
1 [Alan Koss] *
1 [Austin Stoker] *
1 [Darwin Joston] *
1 [Henry Brandon] *
1 [John J. Fox] *
16 [Kim Richards] *
16 [Laurie Zimmer] *
1 [Marc Ross] *
4 [Martin West] *
4 [Nancy Kyes] *
16 [Peter Bruni] *
16 [Peter Frankland]
)
= 305.76B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [James Johnson] *
1 [Tony Burton] *
1 [Assault on Precinct 13] *
1 [Charles Cyphers] *
1 [Frank Doubleday] *
1 [Al Nakauchi] *
1 [Alan Koss] *
1 [Austin Stoker] *
1 [Darwin Joston] *
1 [Henry Brandon] *
1 [John J. Fox] *
1 [Kim Richards] *
1 [Laurie Zimmer] *
1 [Marc Ross] *
1 [Martin West] *
1 [Nancy Kyes] *
1 [Peter Bruni] *
1 [Peter Frankland]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Assault on Precinct 13 73.14%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)