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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [Jefferson Airplane] *
225 [Pete Sears] *
4 [Barry Mitterhoff] *
36 [Jorma Kaukonen] *
36 [Jack Casady] *
196 [The Jefferson Airplane] *
36 [Papa John Creach] *
4 [Michael Falzarano] *
16 [Joey Covington] *
9 [Greg Douglass] *
1 [Bob Steeler] *
1 [Nick Buck] *
1 [Shigemi Komiyama] *
9 [Skoota Warner] *
1 [Willow Scarlett] *
272 [Hot Tuna]
)
= 3.35 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jefferson Airplane] *
1 [Pete Sears] *
1 [Barry Mitterhoff] *
1 [Jorma Kaukonen] *
1 [Jack Casady] *
1 [The Jefferson Airplane] *
1 [Papa John Creach] *
1 [Michael Falzarano] *
1 [Joey Covington] *
1 [Greg Douglass] *
1 [Bob Steeler] *
1 [Nick Buck] *
1 [Shigemi Komiyama] *
1 [Skoota Warner] *
1 [Willow Scarlett] *
0.9412 [Hot Tuna]
)
= 0.9412
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.09%
(3.35 × 1018 overall)
Dominant nodes (excluded from chart)Jefferson Airplane 25.42%Hot Tuna 23.92%Pete Sears 19.79%The Jefferson Airplane 17.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
