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 *
( 121 [Tom Hanks] *
25 [André Sogliuzzo] *
36 [Michael Jeter] *
324 [The Polar Express] *
1 [Andy Pellick] *
1 [Brendan King] *
1 [Chris Coppola] *
1 [Eddie Deezen] *
1 [Gregory Gast] *
1 [Jon Scott] *
1 [Josh Eli] *
1 [Julene Renee] *
1 [Leslie Zemeckis] *
1 [Mark Goodman] *
1 [Mark Mendonca] *
1 [Peter Scolari] *
1 [Rolondas Hendricks] *
1 [Sean Scott]
)
= 35.28M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tom Hanks] *
1 [André Sogliuzzo] *
1 [Michael Jeter] *
1 [The Polar Express] *
1 [Andy Pellick] *
1 [Brendan King] *
1 [Chris Coppola] *
1 [Eddie Deezen] *
1 [Gregory Gast] *
1 [Jon Scott] *
1 [Josh Eli] *
1 [Julene Renee] *
1 [Leslie Zemeckis] *
1 [Mark Goodman] *
1 [Mark Mendonca] *
1 [Peter Scolari] *
1 [Rolondas Hendricks] *
1 [Sean Scott]
)
= 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)The Polar Express 62.19%Tom Hanks 23.22%Michael Jeter 6.91%André Sogliuzzo 4.80%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)