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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 90 [Ed Harris] *
64 [John C. Reilly] *
9 [Margo Martindale] *
9 [Michael Cunningham] *
100 [Julianne Moore] *
36 [Allison Janney] *
400 [The Hours] *
25 [Toni Collette] *
1 [Charley Ramm] *
16 [Christian Coulson] *
16 [Colin Stinton] *
1 [George Loftus] *
1 [Jack Rovello] *
25 [Linda Bassett] *
1 [Lyndsey Marshal] *
25 [Meryl Streep] *
16 [Michael Culkin] *
4 [Miranda Richardson] *
36 [Nicole Kidman] *
9 [Stephen Dillane]
)
= 5.57 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.11 [Ed Harris] *
1 [John C. Reilly] *
1 [Margo Martindale] *
1 [Michael Cunningham] *
1 [Julianne Moore] *
1 [Allison Janney] *
1 [The Hours] *
1 [Toni Collette] *
1 [Charley Ramm] *
1 [Christian Coulson] *
1 [Colin Stinton] *
1 [George Loftus] *
1 [Jack Rovello] *
1 [Linda Bassett] *
1 [Lyndsey Marshal] *
1 [Meryl Streep] *
1 [Michael Culkin] *
1 [Miranda Richardson] *
1 [Nicole Kidman] *
1 [Stephen Dillane]
)
= 1.11
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.11%
(5.57 × 1022 overall)
Dominant nodes (excluded from chart)The Hours 45.20%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)