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 *
( 144 [Nicholas Hoult] *
121 [Ralph Fiennes] *
4 [Hong Chau] *
100 [John Leguizamo] *
16 [Paul Adelstein] *
9 [Janet McTeer] *
324 [The Menu] *
1 [Adam Aalderks] *
1 [Aimee Carrero] *
1 [Anya Taylor-Joy] *
1 [Arturo Castro] *
1 [Christina Brucato] *
1 [Jon Paul Allyn] *
1 [Judith Light] *
1 [Mark St. Cyr] *
4 [Rebecca Koon] *
1 [Reed Birney] *
1 [Rob Yang]
)
= 1.3T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Nicholas Hoult] *
1 [Ralph Fiennes] *
1 [Hong Chau] *
1 [John Leguizamo] *
1 [Paul Adelstein] *
1 [Janet McTeer] *
1 [The Menu] *
1 [Adam Aalderks] *
1 [Aimee Carrero] *
1 [Anya Taylor-Joy] *
1 [Arturo Castro] *
1 [Christina Brucato] *
1 [Jon Paul Allyn] *
1 [Judith Light] *
1 [Mark St. Cyr] *
1 [Rebecca Koon] *
1 [Reed Birney] *
1 [Rob Yang]
)
= 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 Menu 44.20%Nicholas Hoult 19.65%Ralph Fiennes 16.51%John Leguizamo 13.64%Paul Adelstein 2.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)