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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 36 [Michel Camilo Big Band] *
16 [Ed Neumeister Quartet] *
4 [Ed Neumeister Quintet] *
16 [Jim McNeely Tentet] *
1 [Karl Ratzer Quintet] *
1 [Karl Ratzer Septet] *
16 [Reconstruction (4)] *
361 [Jon Faddis] *
25 [Michel Camilo] *
256 [Dave Bargeron] *
100 [Alex Foster] *
169 [Michael Philip Mossman] *
361 [John Hollenbeck] *
361 [Drew Gress] *
289 [Fritz Pauer] *
400 [Jim McNeely] *
289 [Tom Varner] *
400 [Jerry Garcia] *
49 [John Kahn] *
16 [Gaylord Birch]
)
= 1.54 x 10^36
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Michel Camilo Big Band] *
1 [Ed Neumeister Quartet] *
1 [Ed Neumeister Quintet] *
1 [Jim McNeely Tentet] *
1 [Karl Ratzer Quintet] *
1 [Karl Ratzer Septet] *
1 [Reconstruction (4)] *
1 [Jon Faddis] *
1 [Michel Camilo] *
1 [Dave Bargeron] *
1 [Alex Foster] *
1 [Michael Philip Mossman] *
1 [John Hollenbeck] *
1 [Drew Gress] *
1 [Fritz Pauer] *
1 [Jim McNeely] *
1 [Tom Varner] *
1 [Jerry Garcia] *
1 [John Kahn] *
1 [Gaylord Birch]
)
= 1
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
20
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.52%
(1.54 × 1036 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)