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 *
( 12 [Chloe Coleman] *
12 [Larry Sullivan] *
42 [Adam Scott] *
9 [P.J. Byrne] *
400 [Big Little Lies] *
36 [Nicole Kidman] *
121 [Laura Dern] *
81 [Reese Witherspoon] *
25 [Kathryn Newton] *
9 [Santiago Cabrera] *
9 [Zoë Kravitz] *
4 [Iain Armitage] *
1 [Cameron Crovetti] *
1 [Darby Camp] *
1 [Ivy George] *
16 [James Tupper] *
1 [Jeffrey Nordling] *
4 [Merrin Dungey] *
1 [Nicholas Crovetti] *
1 [Shailene Woodley]
)
= 3.98 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Chloe Coleman] *
1.33 [Larry Sullivan] *
1.17 [Adam Scott] *
1 [P.J. Byrne] *
1 [Big Little Lies] *
1 [Nicole Kidman] *
1 [Laura Dern] *
1 [Reese Witherspoon] *
1 [Kathryn Newton] *
1 [Santiago Cabrera] *
1 [Zoë Kravitz] *
1 [Iain Armitage] *
1 [Cameron Crovetti] *
1 [Darby Camp] *
1 [Ivy George] *
1 [James Tupper] *
1 [Jeffrey Nordling] *
1 [Merrin Dungey] *
1 [Nicholas Crovetti] *
1 [Shailene Woodley]
)
= 2.07
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)
0.13%
(3.98 × 1018 overall)
Dominant nodes (excluded from chart)Big Little Lies 50.83%Laura Dern 15.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)