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 *
( 20 [Dorian Kingi] *
306 [iCarly] *
16 [David St. James] *
25 [Mindy Sterling] *
16 [Noah Munck] *
1 [Colin Spensor] *
16 [Dan Schneider] *
4 [Ethan Munck] *
9 [Jennette McCurdy] *
16 [Jeremy Rowley] *
9 [Jerry Trainor] *
16 [Mary Ann Springer] *
1 [Mary Scheer] *
4 [Nathan Kress] *
9 [Boogie] *
1 [Reed Alexander] *
1 [Vince Deadrick Jr.] *
16 [Steve Monroe] *
9 [Michael McMillian] *
9 [Crazy Ex-Girlfriend] *
1 [Alone Together]
)
= 2.18 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Dorian Kingi] *
1.06 [iCarly] *
1 [David St. James] *
1 [Mindy Sterling] *
1 [Noah Munck] *
1 [Colin Spensor] *
1 [Dan Schneider] *
1 [Ethan Munck] *
1 [Jennette McCurdy] *
1 [Jeremy Rowley] *
1 [Jerry Trainor] *
1 [Mary Ann Springer] *
1 [Mary Scheer] *
1 [Nathan Kress] *
1 [Boogie] *
1 [Reed Alexander] *
1 [Vince Deadrick Jr.] *
1 [Steve Monroe] *
1 [Michael McMillian] *
1 [Crazy Ex-Girlfriend] *
1 [Alone Together]
)
= 1.32
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)
1.75%
(2.18 × 1019 overall)
Dominant nodes (excluded from chart)iCarly 59.53%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)