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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 1 [Tenement] *
256 [Robert De Niro] *
16 [Nina von Arx] *
256 [Philip Seymour Hoffman] *
36 [Mark Margolis] *
16 [Vincent Laresca] *
361 [Flawless] *
9 [Chris Bauer] *
16 [Daphne Rubin-Vega] *
4 [Karina Arroyave] *
1 [Jude Ciccolella] *
4 [Barry Miller] *
4 [John Enos III] *
9 [Madhur Jaffrey] *
16 [Nashom Wooden] *
4 [Rory Cochrane] *
1 [Scott Allen Cooper] *
16 [Skipp Sudduth] *
1 [Wanda De Jesus] *
1 [Wilson Jermaine Heredia] *
1 [It Could Happen to You]
)
= 1.67 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tenement] *
1 [Robert De Niro] *
1 [Nina von Arx] *
1 [Philip Seymour Hoffman] *
1 [Mark Margolis] *
1 [Vincent Laresca] *
1 [Flawless] *
1 [Chris Bauer] *
1 [Daphne Rubin-Vega] *
1 [Karina Arroyave] *
1 [Jude Ciccolella] *
1 [Barry Miller] *
1 [John Enos III] *
1 [Madhur Jaffrey] *
1 [Nashom Wooden] *
1 [Rory Cochrane] *
1 [Scott Allen Cooper] *
1 [Skipp Sudduth] *
1 [Wanda De Jesus] *
1 [Wilson Jermaine Heredia] *
1 [It Could Happen to You]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.87%
(1.67 × 1020 overall)
Dominant nodes (excluded from chart)Flawless 34.78%Robert De Niro 24.66%Philip Seymour Hoffman 24.66%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)