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 *
( 12 [Bill Camp] *
12 [Sakina Jaffrey] *
20 [Charlotte Rampling] *
361 [Red Sparrow] *
1 [Mitsuko Uchida] *
1 [Joel Edgerton] *
100 [Jennifer Lawrence] *
9 [Mary-Louise Parker] *
25 [Iván Kamarás] *
25 [Matthias Schoenaerts] *
36 [Ciarán Hinds] *
1 [Douglas Hodge] *
4 [Ingeborga Dapkunaite] *
16 [Sasha Frolova] *
1 [Sebastian Hülk] *
16 [Sergei Polunin] *
9 [Thekla Reuten] *
25 [Edita Brychta] *
1 [Nicole O'Neill]
)
= 4.85 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Bill Camp] *
1.33 [Sakina Jaffrey] *
1.25 [Charlotte Rampling] *
1 [Red Sparrow] *
1 [Mitsuko Uchida] *
1 [Joel Edgerton] *
1 [Jennifer Lawrence] *
1 [Mary-Louise Parker] *
1 [Iván Kamarás] *
1 [Matthias Schoenaerts] *
1 [Ciarán Hinds] *
1 [Douglas Hodge] *
1 [Ingeborga Dapkunaite] *
1 [Sasha Frolova] *
1 [Sebastian Hülk] *
1 [Sergei Polunin] *
1 [Thekla Reuten] *
1 [Edita Brychta] *
1 [Nicole O'Neill]
)
= 2.22
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)
0.15%
(4.85 × 1018 overall)
Dominant nodes (excluded from chart)Red Sparrow 53.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)