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, 20) = 20
$outbound = max(1, 20) = 20
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 20 * 20 = 400
Base_Influence (IV) = $inbound / $outbound = 20 / 20 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 400 *
( 1 [Fred Waring] *
1 [Tom Waring] *
1 [Bill Townsend] *
1 [Clare Hanlon] *
1 [D. Wade Schlegel] *
1 [Dude Skiles] *
1 [Earl Gardner (3)] *
1 [Ed Radell] *
1 [Eddie Radelman] *
1 [Elton Cockerill] *
1 [Francis Foster (2)] *
1 [Frank W. Hower] *
1 [Fred Buck] *
1 [Fred Campbell (2)] *
1 [Fred Culley] *
1 [Gene Conklin] *
1 [George Culley] *
1 [Jack Skiles] *
1 [Jim Gilliland] *
1 [Jim Mullen (3)]
)
= 400
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Fred Waring] *
1 [Tom Waring] *
1 [Bill Townsend] *
1 [Clare Hanlon] *
1 [D. Wade Schlegel] *
1 [Dude Skiles] *
1 [Earl Gardner (3)] *
1 [Ed Radell] *
1 [Eddie Radelman] *
1 [Elton Cockerill] *
1 [Francis Foster (2)] *
1 [Frank W. Hower] *
1 [Fred Buck] *
1 [Fred Campbell (2)] *
1 [Fred Culley] *
1 [Gene Conklin] *
1 [George Culley] *
1 [Jack Skiles] *
1 [Jim Gilliland] *
1 [Jim Mullen (3)]
)
= 1
Outbound
20
Tags on post
Inbound
20
Posts tagging this
Connections
20
Total nodes
Base Node Strength
400
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)