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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Tobias Segal] *
20 [Chukwudi Iwuji] *
110 [John Leguizamo] *
16 [Peter Serafinowicz] *
64 [Ian McShane] *
25 [Common] *
361 [John Wick: Chapter 2] *
169 [Laurence Fishburne] *
16 [David Patrick Kelly] *
49 [Bridget Moynahan] *
16 [Claudia Gerini] *
1 [Eric Frandsen] *
16 [Franco Nero] *
36 [Keanu Reeves] *
36 [Lance Reddick] *
4 [Riccardo Scamarcio] *
9 [Ruby Rose] *
25 [Thomas Sadoski] *
16 [Youma Diakite]
)
= 2.57 x 10^26
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Tobias Segal] *
1.25 [Chukwudi Iwuji] *
1.1 [John Leguizamo] *
1 [Peter Serafinowicz] *
1 [Ian McShane] *
1 [Common] *
1 [John Wick: Chapter 2] *
1 [Laurence Fishburne] *
1 [David Patrick Kelly] *
1 [Bridget Moynahan] *
1 [Claudia Gerini] *
1 [Eric Frandsen] *
1 [Franco Nero] *
1 [Keanu Reeves] *
1 [Lance Reddick] *
1 [Riccardo Scamarcio] *
1 [Ruby Rose] *
1 [Thomas Sadoski] *
1 [Youma Diakite]
)
= 1.72
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.10%
(2.57 × 1026 overall)
Dominant nodes (excluded from chart)John Wick: Chapter 2 35.74%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)