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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Tom Savini] *
25 [Lois Chiles] *
81 [Holt McCallany] *
4 [Daniel Beer] *
4 [Paul Satterfield] *
289 [Creepshow 2] *
9 [George Kennedy] *
1 [Dan Kamin] *
1 [David Holbrook] *
1 [Domenick John] *
1 [Don Harvey] *
1 [Dorothy Lamour] *
1 [Frank Salsedo] *
1 [Jeremy Green] *
1 [Philip Dore] *
1 [Shirley Sonderegger] *
1 [Tyrone Tonto]
)
= 2.11B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tom Savini] *
1 [Lois Chiles] *
1 [Holt McCallany] *
1 [Daniel Beer] *
1 [Paul Satterfield] *
1 [Creepshow 2] *
1 [George Kennedy] *
1 [Dan Kamin] *
1 [David Holbrook] *
1 [Domenick John] *
1 [Don Harvey] *
1 [Dorothy Lamour] *
1 [Frank Salsedo] *
1 [Jeremy Green] *
1 [Philip Dore] *
1 [Shirley Sonderegger] *
1 [Tyrone Tonto]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Creepshow 2 64.51%Holt McCallany 18.08%Tom Savini 5.58%Lois Chiles 5.58%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)