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 *
( 16 [eoin mccarthy] *
9 [Skylan Brooks] *
9 [Bloom] *
36 [Idris Elba] *
81 [Cate Blanchett] *
169 [Benedict Cumberbatch] *
64 [Anthony Hopkins] *
49 [Chris Hemsworth] *
225 [Mark Ruffalo] *
36 [Tessa Thompson] *
289 [Thor: Ragnarok] *
64 [Karl Urban] *
36 [Jeff Goldblum] *
81 [Clancy Brown] *
16 [Tom Hiddleston] *
25 [Taika Waititi] *
25 [Ray Stevenson] *
16 [Tadanobu Asano] *
1 [Georgia Blizzard] *
4 [Rachel House] *
1 [Black Water: Abyss]
)
= 5.04 x 10^30
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [eoin mccarthy] *
1 [Skylan Brooks] *
1 [Bloom] *
1 [Idris Elba] *
1 [Cate Blanchett] *
1 [Benedict Cumberbatch] *
1 [Anthony Hopkins] *
1 [Chris Hemsworth] *
1 [Mark Ruffalo] *
1 [Tessa Thompson] *
1 [Thor: Ragnarok] *
1 [Karl Urban] *
1 [Jeff Goldblum] *
1 [Clancy Brown] *
1 [Tom Hiddleston] *
1 [Taika Waititi] *
1 [Ray Stevenson] *
1 [Tadanobu Asano] *
1 [Georgia Blizzard] *
1 [Rachel House] *
1 [Black Water: Abyss]
)
= 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)
0.71%
(5.04 × 1030 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)