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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 20 [Peter Wight] *
36 [Emily Blunt] *
324 [Salmon Fishing in the Yemen] *
169 [Ewan McGregor] *
1 [Alex Taylor-McDowall] *
9 [Amr Waked] *
4 [Catherine Steadman] *
16 [Clive Wood] *
16 [Conleth Hill] *
1 [Hamish Gray] *
16 [Jill Baker] *
16 [Kristin Scott Thomas] *
1 [Matilda White] *
1 [Nayef Rashed] *
1 [Otto Farrant] *
16 [Rachael Stirling] *
16 [Tom Beard] *
16 [Tom Mison] *
1 [Lost Paradise] *
1 [Tyrant]
)
= 3.43 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Peter Wight] *
1 [Emily Blunt] *
1 [Salmon Fishing in the Yemen] *
1 [Ewan McGregor] *
1 [Alex Taylor-McDowall] *
1 [Amr Waked] *
1 [Catherine Steadman] *
1 [Clive Wood] *
1 [Conleth Hill] *
1 [Hamish Gray] *
1 [Jill Baker] *
1 [Kristin Scott Thomas] *
1 [Matilda White] *
1 [Nayef Rashed] *
1 [Otto Farrant] *
1 [Rachael Stirling] *
1 [Tom Beard] *
1 [Tom Mison] *
1 [Lost Paradise] *
1 [Tyrant]
)
= 1.25
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.30%
(3.43 × 1018 overall)
Dominant nodes (excluded from chart)Salmon Fishing in the Yemen 46.96%Ewan McGregor 24.49%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)