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 *
( 380 [Beau Is Afraid] *
25 [Denis Ménochet] *
64 [Joaquin Phoenix] *
49 [Amy Ryan] *
16 [Patti LuPone] *
9 [Julian Richings] *
9 [Parker Posey] *
16 [Nathan Lane] *
9 [Armen Nahapetian] *
16 [Hayley Squires] *
1 [James Cvetkovski] *
16 [Julia Antonelli] *
16 [Kylie Rogers] *
16 [Kwasi Songui] *
9 [Anana Rydvald] *
4 [Zoe Lister-Jones] *
1 [Richard Kind] *
1 [Stephen McKinley Henderson] *
1 [Catherine Bérubé]
)
= 1.31 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.05 [Beau Is Afraid] *
1 [Denis Ménochet] *
1 [Joaquin Phoenix] *
1 [Amy Ryan] *
1 [Patti LuPone] *
1 [Julian Richings] *
1 [Parker Posey] *
1 [Nathan Lane] *
1 [Armen Nahapetian] *
1 [Hayley Squires] *
1 [James Cvetkovski] *
1 [Julia Antonelli] *
1 [Kylie Rogers] *
1 [Kwasi Songui] *
1 [Anana Rydvald] *
1 [Zoe Lister-Jones] *
1 [Richard Kind] *
1 [Stephen McKinley Henderson] *
1 [Catherine Bérubé]
)
= 1.05
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%
(1.31 × 1019 overall)
Dominant nodes (excluded from chart)Beau Is Afraid 57.66%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)