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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 9 [Ryan Knight] *
36 [Angourie Rice] *
16 [Nathan Phillips] *
324 [These Final Hours] *
4 [David Field] *
1 [Aron Dyer] *
1 [Brendan Kalin] *
1 [Caleb Helm] *
1 [Emily Crew] *
1 [Kingsley Judd] *
1 [Lauren Cleary] *
1 [Matt Lovkis] *
1 [Michael McCall] *
1 [Neil Stewart] *
1 [Paul Montague] *
4 [Peter Docker] *
1 [Wendy Burns] *
1 [Zaydah-lee] *
9 [Gretchen Egolf] *
4 [Pennyworth] *
1 [The Couple Next Door]
)
= 8.71B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ryan Knight] *
1 [Angourie Rice] *
1 [Nathan Phillips] *
1 [These Final Hours] *
1 [David Field] *
1 [Aron Dyer] *
1 [Brendan Kalin] *
1 [Caleb Helm] *
1 [Emily Crew] *
1 [Kingsley Judd] *
1 [Lauren Cleary] *
1 [Matt Lovkis] *
1 [Michael McCall] *
1 [Neil Stewart] *
1 [Paul Montague] *
1 [Peter Docker] *
1 [Wendy Burns] *
1 [Zaydah-lee] *
1 [Gretchen Egolf] *
1 [Pennyworth] *
1 [The Couple Next Door]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)These Final Hours 75.70%Angourie Rice 8.41%Nathan Phillips 3.74%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)