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 *
( 20 [Tobias Segal] *
361 [The Drop] *
16 [Elizabeth Rodriguez] *
16 [John Ortiz] *
64 [Tom Hardy] *
4 [Ann Dowd] *
9 [Jermaine Fowler] *
25 [James Colby] *
1 [James Frecheville] *
25 [James Gandolfini] *
16 [Jeremy Bobb] *
1 [Lucas Caleb Rooney] *
25 [Matthias Schoenaerts] *
16 [Michael Aronov] *
25 [Michael Esper] *
36 [Noomi Rapace] *
1 [Patricia Squire] *
16 [Ross Bickell] *
16 [Aparna Nancherla]
)
= 3.92 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Tobias Segal] *
1 [The Drop] *
1 [Elizabeth Rodriguez] *
1 [John Ortiz] *
1 [Tom Hardy] *
1 [Ann Dowd] *
1 [Jermaine Fowler] *
1 [James Colby] *
1 [James Frecheville] *
1 [James Gandolfini] *
1 [Jeremy Bobb] *
1 [Lucas Caleb Rooney] *
1 [Matthias Schoenaerts] *
1 [Michael Aronov] *
1 [Michael Esper] *
1 [Noomi Rapace] *
1 [Patricia Squire] *
1 [Ross Bickell] *
1 [Aparna Nancherla]
)
= 1.25
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)
0.14%
(3.92 × 1021 overall)
Dominant nodes (excluded from chart)The Drop 52.02%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)