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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 361 [West Side Story] *
1 [St. Luke's Choristers] *
4 [Richard Beymer] *
16 [Ariana DeBose] *
4 [Bert Michaels] *
1 [David Bean] *
16 [David Winters] *
1 [Eliot Feld] *
1 [Harvey Evans] *
1 [Natalie Wood] *
4 [Ned Glass] *
4 [Rita Moreno] *
1 [Robert Banas] *
1 [Russ Tamblyn] *
1 [Simon Oakland] *
1 [Tommy Abbott] *
1 [Tony Mordente] *
1 [Tucker Smith] *
1 [William Bramley] *
1 [Anthony 'Scooter' Teague]
)
= 94.63M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [West Side Story] *
1 [St. Luke's Choristers] *
1 [Richard Beymer] *
1 [Ariana DeBose] *
1 [Bert Michaels] *
1 [David Bean] *
1 [David Winters] *
1 [Eliot Feld] *
1 [Harvey Evans] *
1 [Natalie Wood] *
1 [Ned Glass] *
1 [Rita Moreno] *
1 [Robert Banas] *
1 [Russ Tamblyn] *
1 [Simon Oakland] *
1 [Tommy Abbott] *
1 [Tony Mordente] *
1 [Tucker Smith] *
1 [William Bramley] *
1 [Anthony 'Scooter' Teague]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)West Side Story 84.74%Ariana DeBose 3.76%David Winters 3.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)