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 *
( 9 [Glenn Medeiros] *
16 [Rick Hurst] *
16 [Ralph Macchio] *
25 [Jan Tríska] *
324 [The Karate Kid Part III] *
1 [Diana Webster] *
1 [Frances Bay] *
4 [Martin Kove] *
16 [Pat Morita] *
1 [Randee Heller] *
1 [Robyn Lively] *
1 [C. Darnell Rose] *
1 [Joseph V. Perry] *
1 [Pat E. Johnson] *
1 [Patrick R. Posada] *
1 [Sean Kanan] *
1 [Thomas Ian Griffith] *
1 [William Christopher Ford] *
1 [Rocky V] *
1 [Gone Fishin']
)
= 10.75B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Glenn Medeiros] *
1 [Rick Hurst] *
1 [Ralph Macchio] *
1 [Jan Tríska] *
1 [The Karate Kid Part III] *
1 [Diana Webster] *
1 [Frances Bay] *
1 [Martin Kove] *
1 [Pat Morita] *
1 [Randee Heller] *
1 [Robyn Lively] *
1 [C. Darnell Rose] *
1 [Joseph V. Perry] *
1 [Pat E. Johnson] *
1 [Patrick R. Posada] *
1 [Sean Kanan] *
1 [Thomas Ian Griffith] *
1 [William Christopher Ford] *
1 [Rocky V] *
1 [Gone Fishin']
)
= 1
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)
Dominant nodes (excluded from chart)The Karate Kid Part III 75.00%Jan Tríska 5.79%Rick Hurst 3.70%Ralph Macchio 3.70%Pat Morita 3.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)