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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [David Brisbin] *
36 [Conchata Ferrell] *
64 [Julia Roberts] *
361 [Erin Brockovich] *
36 [Aaron Eckhart] *
16 [Adilah Barnes] *
25 [Albert Finney] *
1 [Dawn Didawick] *
1 [Emily Marks] *
16 [Erin Brockovich-Ellis] *
1 [Gemmenne de la Peña] *
1 [George Rocky Sullivan] *
25 [Irene Olga López] *
1 [Irina V. Passmoore] *
1 [Julie Marks] *
9 [Pat Skipper] *
16 [Scotty Leavenworth] *
16 [Valente Rodriguez] *
16 [Marg Helgenberger]
)
= 2.12 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [David Brisbin] *
1 [Conchata Ferrell] *
1 [Julia Roberts] *
1 [Erin Brockovich] *
1 [Aaron Eckhart] *
1 [Adilah Barnes] *
1 [Albert Finney] *
1 [Dawn Didawick] *
1 [Emily Marks] *
1 [Erin Brockovich-Ellis] *
1 [Gemmenne de la Peña] *
1 [George Rocky Sullivan] *
1 [Irene Olga López] *
1 [Irina V. Passmoore] *
1 [Julie Marks] *
1 [Pat Skipper] *
1 [Scotty Leavenworth] *
1 [Valente Rodriguez] *
1 [Marg Helgenberger]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.15%
(2.12 × 1018 overall)
Dominant nodes (excluded from chart)Erin Brockovich 55.11%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)