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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 12 [Tony Roberts] *
20 [Allan Rich] *
324 [Serpico] *
4 [John Randolph] *
9 [Biff McGuire] *
16 [Hank Garrett] *
49 [Al Pacino] *
16 [Richard Foronjy] *
25 [Jack Kehoe] *
1 [Albert Henderson] *
16 [Barbara Eda-Young] *
16 [Cornelia Sharpe] *
4 [Damien Leake] *
9 [Edward Grover] *
1 [Gene Gross] *
1 [John Medici] *
1 [Norman Ornellas] *
1 [Woodie King Jr.] *
1 [Pretty Poison] *
1 [Once Upon a Mattress] *
1 [Who?]
)
= 1.29 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Tony Roberts] *
1.25 [Allan Rich] *
1 [Serpico] *
1 [John Randolph] *
1 [Biff McGuire] *
1 [Hank Garrett] *
1 [Al Pacino] *
1 [Richard Foronjy] *
1 [Jack Kehoe] *
1 [Albert Henderson] *
1 [Barbara Eda-Young] *
1 [Cornelia Sharpe] *
1 [Damien Leake] *
1 [Edward Grover] *
1 [Gene Gross] *
1 [John Medici] *
1 [Norman Ornellas] *
1 [Woodie King Jr.] *
1 [Pretty Poison] *
1 [Once Upon a Mattress] *
1 [Who?]
)
= 1.67
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
21
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.94%
(1.29 × 1017 overall)
Dominant nodes (excluded from chart)Serpico 59.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)