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 *
( 100 [Jennifer Lawrence] *
36 [Jason Flemyng] *
144 [Nicholas Hoult] *
36 [Michael Fassbender] *
361 [X-Men: First Class] *
16 [Matt Craven] *
16 [Beth Goddard] *
25 [James McAvoy] *
16 [Lucas Till] *
4 [Rose Byrne] *
49 [Edi Gathegi] *
16 [Corey Johnson] *
9 [Oliver Platt] *
16 [Bill Milner] *
4 [January Jones] *
4 [Laurence Belcher] *
9 [Zoë Kravitz] *
16 [Brendan Fehr] *
25 [Demetri Goritsas] *
1 [Flipped] *
1 [Cooties]
)
= 1.62 x 10^26
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jennifer Lawrence] *
1 [Jason Flemyng] *
1 [Nicholas Hoult] *
1 [Michael Fassbender] *
1 [X-Men: First Class] *
1 [Matt Craven] *
1 [Beth Goddard] *
1 [James McAvoy] *
1 [Lucas Till] *
1 [Rose Byrne] *
1 [Edi Gathegi] *
1 [Corey Johnson] *
1 [Oliver Platt] *
1 [Bill Milner] *
1 [January Jones] *
1 [Laurence Belcher] *
1 [Zoë Kravitz] *
1 [Brendan Fehr] *
1 [Demetri Goritsas] *
1 [Flipped] *
1 [Cooties]
)
= 1
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)
0.99%
(1.62 × 1026 overall)
Dominant nodes (excluded from chart)X-Men: First Class 39.54%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)