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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 49 [Chris Broderick] *
196 [Jag Panzer] *
4 [Mark Briody] *
1 [Reynold Carlson] *
9 [Harry Conklin] *
4 [Joey Tafolla] *
1 [John Tetley] *
4 [Rikard Stjernquist] *
1 [Bob Parduba] *
1 [Chris Kostka] *
1 [Christian Lasegue] *
1 [Daniel J. Conca] *
4 [Ken Rodarte] *
1 [Rick Hilyard] *
121 [Dave McClain] *
36 [S.A. Slayer] *
36 [Ron Jarzombek] *
4 [Don Van Stavern] *
1 [Art Villarreal] *
1 [Steve Cooper (8)]
)
= 55.52T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Chris Broderick] *
1 [Jag Panzer] *
1 [Mark Briody] *
1 [Reynold Carlson] *
1 [Harry Conklin] *
1 [Joey Tafolla] *
1 [John Tetley] *
1 [Rikard Stjernquist] *
1 [Bob Parduba] *
1 [Chris Kostka] *
1 [Christian Lasegue] *
1 [Daniel J. Conca] *
1 [Ken Rodarte] *
1 [Rick Hilyard] *
1 [Dave McClain] *
1 [S.A. Slayer] *
1 [Ron Jarzombek] *
1 [Don Van Stavern] *
1 [Art Villarreal] *
1 [Steve Cooper (8)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Jag Panzer 40.83%Dave McClain 25.21%Chris Broderick 10.21%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)