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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 12 [Evelyn Duah] *
30 [James Greene] *
9 [John Lynch] *
9 [Paul Stacey] *
64 [Gwyneth Paltrow] *
289 [Sliding Doors] *
49 [John Hannah] *
16 [Jeanne Tripplehorn] *
9 [Joanna Roth] *
1 [Linda Broughton] *
16 [Neil Stuke] *
25 [Nina Young] *
16 [Paul Brightwell] *
16 [Peter Howitt] *
1 [Terry English] *
1 [Theresa Kartell] *
1 [Virginia McKenna] *
1 [Zara Turner] *
16 [Johnny English] *
4 [Antitrust] *
1 [Photo Finish]
)
= 3.99 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Evelyn Duah] *
1.2 [James Greene] *
1 [John Lynch] *
1 [Paul Stacey] *
1 [Gwyneth Paltrow] *
1 [Sliding Doors] *
1 [John Hannah] *
1 [Jeanne Tripplehorn] *
1 [Joanna Roth] *
1 [Linda Broughton] *
1 [Neil Stuke] *
1 [Nina Young] *
1 [Paul Brightwell] *
1 [Peter Howitt] *
1 [Terry English] *
1 [Theresa Kartell] *
1 [Virginia McKenna] *
1 [Zara Turner] *
1 [Johnny English] *
1 [Antitrust] *
1 [Photo Finish]
)
= 1.6
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
21
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.66%
(3.99 × 1020 overall)
Dominant nodes (excluded from chart)Sliding Doors 48.01%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)