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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Shaun Toub] *
56 [William Sadler] *
64 [Gwyneth Paltrow] *
81 [Jon Favreau] *
289 [Iron Man 3] *
36 [Ben Kingsley] *
4 [Dale Dickey] *
121 [Don Cheadle] *
36 [Guy Pearce] *
9 [James Badge Dale] *
1 [Matthew Sterling Nye] *
9 [Pat Kiernan] *
49 [Paul Bettany] *
25 [Rebecca Hall] *
196 [Robert Downey Jr.] *
16 [Ty Simpkins] *
1 [Xueqi Wang]
)
= 3.28 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Shaun Toub] *
1.14 [William Sadler] *
1 [Gwyneth Paltrow] *
1 [Jon Favreau] *
1 [Iron Man 3] *
1 [Ben Kingsley] *
1 [Dale Dickey] *
1 [Don Cheadle] *
1 [Guy Pearce] *
1 [James Badge Dale] *
1 [Matthew Sterling Nye] *
1 [Pat Kiernan] *
1 [Paul Bettany] *
1 [Rebecca Hall] *
1 [Robert Downey Jr.] *
1 [Ty Simpkins] *
1 [Xueqi Wang]
)
= 1.43
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.10%
(3.28 × 1023 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)