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 *
( 25 [Matthew McConaughey] *
9 [Bradford Cox] *
36 [Jared Leto] *
25 [Griffin Dunne] *
9 [Steve Zahn] *
25 [Jennifer Garner] *
16 [Dallas Roberts] *
25 [Kevin Rankin] *
9 [Scott Takeda] *
361 [Dallas Buyers Club] *
16 [Deneen Tyler] *
4 [Donna Duplantier] *
16 [Ian Casselberry] *
4 [Lawrence Turner] *
1 [Lucius Falick] *
1 [Noelle Wilcox] *
1 [Rick Espaillat] *
25 [Denis O'Hare] *
4 [Michael O'Neill]
)
= 2.43 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Matthew McConaughey] *
1 [Bradford Cox] *
1 [Jared Leto] *
1 [Griffin Dunne] *
1 [Steve Zahn] *
1 [Jennifer Garner] *
1 [Dallas Roberts] *
1 [Kevin Rankin] *
1 [Scott Takeda] *
1 [Dallas Buyers Club] *
1 [Deneen Tyler] *
1 [Donna Duplantier] *
1 [Ian Casselberry] *
1 [Lawrence Turner] *
1 [Lucius Falick] *
1 [Noelle Wilcox] *
1 [Rick Espaillat] *
1 [Denis O'Hare] *
1 [Michael O'Neill]
)
= 1
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)
0.16%
(2.43 × 1019 overall)
Dominant nodes (excluded from chart)Dallas Buyers Club 58.89%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)