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 [Madhur Jaffrey] *
12 [Mina Bern] *
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] *
16 [Nashom Wooden] *
4 [Rory Cochrane] *
1 [Scott Allen Cooper] *
25 [Skipp Sudduth] *
1 [Wanda De Jesus]
)
= 4.63 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Madhur Jaffrey] *
1.33 [Mina Bern] *
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 [Nashom Wooden] *
1 [Rory Cochrane] *
1 [Scott Allen Cooper] *
1 [Skipp Sudduth] *
1 [Wanda De Jesus]
)
= 1.78
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)
0.10%
(4.63 × 1020 overall)
Dominant nodes (excluded from chart)Flawless 34.35%Robert De Niro 24.36%Philip Seymour Hoffman 24.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)