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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Steve Carell] *
9 [Viveka Davis] *
16 [Jim Belushi] *
9 [John Getz] *
4 [Branscombe Richmond] *
25 [Kelly Lynch] *
4 [Adele Robbins] *
324 [Curly Sue] *
9 [Edie McClurg] *
1 [Alisan Porter] *
1 [Barbara Tarbuck] *
1 [Burke Byrnes] *
1 [Cameron Thor] *
1 [Fred Thompson] *
1 [Gail Boggs] *
1 [Lyle Browne] *
1 [James W. Boinski] *
1 [Nadine Burke]
)
= 37.79B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Steve Carell] *
1 [Viveka Davis] *
1 [Jim Belushi] *
1 [John Getz] *
1 [Branscombe Richmond] *
1 [Kelly Lynch] *
1 [Adele Robbins] *
1 [Curly Sue] *
1 [Edie McClurg] *
1 [Alisan Porter] *
1 [Barbara Tarbuck] *
1 [Burke Byrnes] *
1 [Cameron Thor] *
1 [Fred Thompson] *
1 [Gail Boggs] *
1 [Lyle Browne] *
1 [James W. Boinski] *
1 [Nadine Burke]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Curly Sue 74.48%Steve Carell 5.75%Kelly Lynch 5.75%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)