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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 132 [Rollins Band] *
25 [Andrew Weiss] *
49 [Bernie Wandel] *
36 [Chris Haskett] *
9 [Henry Garfield] *
16 [Jason Mackenroth] *
9 [Jim Wilson (2)] *
4 [Marcus Blake] *
324 [Melvin Gibbs] *
4 [Mick Green (2)] *
4 [Theo Van Eenbergen] *
121 [The Rollins Band] *
1 [Billy Hector Band] *
4 [Brews Springstien] *
1 [Gone (2)] *
1 [Regressive Aid] *
1 [Scornflakes] *
1 [The Fusionaires] *
169 [Paul Roessler]
)
= 8.19 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.09 [Rollins Band] *
1 [Andrew Weiss] *
1 [Bernie Wandel] *
1 [Chris Haskett] *
1 [Henry Garfield] *
1 [Jason Mackenroth] *
1 [Jim Wilson (2)] *
1 [Marcus Blake] *
1 [Melvin Gibbs] *
1 [Mick Green (2)] *
1 [Theo Van Eenbergen] *
1 [The Rollins Band] *
1 [Billy Hector Band] *
1 [Brews Springstien] *
1 [Gone (2)] *
1 [Regressive Aid] *
1 [Scornflakes] *
1 [The Fusionaires] *
1 [Paul Roessler]
)
= 1.09
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
19
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
6.56%
(8.19 × 1020 overall)
Dominant nodes (excluded from chart)Melvin Gibbs 33.23%Paul Roessler 17.33%Rollins Band 13.54%The Rollins Band 12.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)