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 *
( 16 [Joyce Jillson] *
16 [Sylvester Groth] *
16 [Elizabeth Debicki] *
361 [The Man from U.N.C.L.E.] *
16 [Alicia Vikander] *
1 [Andrea Cagliesi] *
16 [Armie Hammer] *
16 [David Menkin] *
9 [Guy Williams] *
4 [Henry Cavill] *
36 [Hugh Grant] *
25 [Jared Harris] *
1 [Julian M. Deuster] *
9 [Luca Calvani] *
16 [Marianna Di Martino] *
1 [Misha Kuznetsov] *
1 [Pablo Scola] *
1 [Peter Stark] *
1 [Riccardo Calvanese]
)
= 2.83 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Joyce Jillson] *
1 [Sylvester Groth] *
1 [Elizabeth Debicki] *
1 [The Man from U.N.C.L.E.] *
1 [Alicia Vikander] *
1 [Andrea Cagliesi] *
1 [Armie Hammer] *
1 [David Menkin] *
1 [Guy Williams] *
1 [Henry Cavill] *
1 [Hugh Grant] *
1 [Jared Harris] *
1 [Julian M. Deuster] *
1 [Luca Calvani] *
1 [Marianna Di Martino] *
1 [Misha Kuznetsov] *
1 [Pablo Scola] *
1 [Peter Stark] *
1 [Riccardo Calvanese]
)
= 1
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)
0.18%
(2.83 × 1016 overall)
Dominant nodes (excluded from chart)The Man from U.N.C.L.E. 64.12%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)