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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 289 [Jefferson Airplane] *
121 [George Benson] *
9 [Keb' Mo'] *
9 [Dino Valenti] *
36 [Jorma Kaukonen] *
25 [Grace Slick] *
36 [Jack Casady] *
36 [Marty Balin] *
25 [Paul Kantner] *
36 [Papa John Creach] *
36 [Spencer Dryden] *
49 [John Barbata] *
16 [Alexander Spence] *
4 [Bob Harvey (7)] *
4 [Jerry Peloquin] *
16 [Joey Covington] *
196 [The Jefferson Airplane] *
1 [1 (4)] *
272 [Hot Tuna]
)
= 1.03 x 10^28
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jefferson Airplane] *
1 [George Benson] *
1 [Keb' Mo'] *
1 [Dino Valenti] *
1 [Jorma Kaukonen] *
1 [Grace Slick] *
1 [Jack Casady] *
1 [Marty Balin] *
1 [Paul Kantner] *
1 [Papa John Creach] *
1 [Spencer Dryden] *
1 [John Barbata] *
1 [Alexander Spence] *
1 [Bob Harvey (7)] *
1 [Jerry Peloquin] *
1 [Joey Covington] *
1 [The Jefferson Airplane] *
1 [1 (4)] *
0.9412 [Hot Tuna]
)
= 0.9412
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.73%
(1.03 × 1028 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
