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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 4 [Marcia DeBonis] *
36 [Vanessa Redgrave] *
289 [Letters to Juliet] *
16 [Angelo Infanti] *
1 [Christopher Egan] *
1 [Dario Conti] *
16 [Fabio Testi] *
1 [Giacomo Piperno] *
1 [Giordano Formenti] *
16 [Ivana Lotito] *
9 [Lidia Biondi] *
16 [Luisa De Santis] *
16 [Luisa Ranieri] *
16 [Milena Vukotic] *
1 [Paolo Arvedi] *
1 [Remo Remotti] *
1 [Gael García Bernal] *
1 [Bread and Tulips] *
1 [Luca] *
9 [That's Life] *
4 [Andrew Caple-Shaw] *
4 [Wolfgang Heichel]
)
= 1.45 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Marcia DeBonis] *
1 [Vanessa Redgrave] *
1 [Letters to Juliet] *
1 [Angelo Infanti] *
1 [Christopher Egan] *
1 [Dario Conti] *
1 [Fabio Testi] *
1 [Giacomo Piperno] *
1 [Giordano Formenti] *
1 [Ivana Lotito] *
1 [Lidia Biondi] *
1 [Luisa De Santis] *
1 [Luisa Ranieri] *
1 [Milena Vukotic] *
1 [Paolo Arvedi] *
1 [Remo Remotti] *
1 [Gael García Bernal] *
1 [Bread and Tulips] *
1 [Luca] *
1 [That's Life] *
1 [Andrew Caple-Shaw] *
1 [Wolfgang Heichel]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
22
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
3.36%
(1.45 × 1016 overall)
Dominant nodes (excluded from chart)Letters to Juliet 60.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)