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 26 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 676 [Bar-Kays] *
4 [James Alexander] *
1 [Jazze Pha] *
25 [Willie Hall] *
1 [Vernon Burch] *
4 [Chris J] *
36 [Eric Gales] *
4 [Larry Dodson] *
4 [Mark Bynum] *
36 [Winston Stewart] *
4 [Harvey Henderson] *
4 [Carl Cunningham] *
4 [Lloyd Smith] *
4 [Ben Cauley] *
4 [Bryan Smith (6)] *
4 [Carl Sims] *
4 [Charles Allen] *
4 [Frank Thompson] *
4 [Jimmy King (2)] *
9 [John Colbert] *
4 [Michael Beard] *
4 [Michael Toles] *
4 [Phalon Jones] *
4 [Ronnie Caldwell] *
4 [Roy Cunningham] *
4 [Sherman Guy]
)
= 5.42 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Bar-Kays] *
1 [James Alexander] *
1 [Jazze Pha] *
1 [Willie Hall] *
1 [Vernon Burch] *
1 [Chris J] *
1 [Eric Gales] *
1 [Larry Dodson] *
1 [Mark Bynum] *
1 [Winston Stewart] *
1 [Harvey Henderson] *
1 [Carl Cunningham] *
1 [Lloyd Smith] *
1 [Ben Cauley] *
1 [Bryan Smith (6)] *
1 [Carl Sims] *
1 [Charles Allen] *
1 [Frank Thompson] *
1 [Jimmy King (2)] *
1 [John Colbert] *
1 [Michael Beard] *
1 [Michael Toles] *
1 [Phalon Jones] *
1 [Ronnie Caldwell] *
1 [Roy Cunningham] *
1 [Sherman Guy]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
26
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(5.42 × 1019 overall)
Dominant nodes (excluded from chart)Bar-Kays 78.51%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
