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 [Bruce Campbell] *
25 [Stacy Keach] *
16 [Paul Bartel] *
121 [Kurt Russell] *
49 [Cliff Robertson] *
289 [Escape from L.A.] *
9 [A.J. Langer] *
1 [Caroleen Feeney] *
25 [Georges Corraface] *
4 [Jeff Imada] *
9 [Jordan Baker] *
9 [Michelle Forbes] *
25 [Pam Grier] *
36 [Peter Fonda] *
25 [Peter Jason] *
4 [Tom McNulty] *
25 [Valeria Golino]
)
= 2.81 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Bruce Campbell] *
1 [Stacy Keach] *
1 [Paul Bartel] *
1 [Kurt Russell] *
1 [Cliff Robertson] *
1 [Escape from L.A.] *
1 [A.J. Langer] *
1 [Caroleen Feeney] *
1 [Georges Corraface] *
1 [Jeff Imada] *
1 [Jordan Baker] *
1 [Michelle Forbes] *
1 [Pam Grier] *
1 [Peter Fonda] *
1 [Peter Jason] *
1 [Tom McNulty] *
1 [Valeria Golino]
)
= 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)
0.14%
(2.81 × 1021 overall)
Dominant nodes (excluded from chart)Escape from L.A. 41.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)