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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Craig Tate] *
12 [Saniyya Sidney] *
12 [Vaughn W. Hebron] *
30 [Aunjanue Ellis-Taylor] *
121 [Jon Bernthal] *
324 [King Richard] *
9 [Brad Greenquist] *
1 [Calvin Clausell Jr.] *
16 [Demi Singleton] *
16 [Erika Ringor] *
1 [Jimmy Walker Jr.] *
1 [Josiah Cross] *
9 [Kevin Dunn] *
1 [Layla Crawford] *
1 [Mikayla Lashae Bartholomew] *
16 [Noah Bean] *
16 [Tony Goldwyn] *
25 [Erin Cummings]
)
= 2.70 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Craig Tate] *
1.33 [Saniyya Sidney] *
1.33 [Vaughn W. Hebron] *
1.2 [Aunjanue Ellis-Taylor] *
1 [Jon Bernthal] *
1 [King Richard] *
1 [Brad Greenquist] *
1 [Calvin Clausell Jr.] *
1 [Demi Singleton] *
1 [Erika Ringor] *
1 [Jimmy Walker Jr.] *
1 [Josiah Cross] *
1 [Kevin Dunn] *
1 [Layla Crawford] *
1 [Mikayla Lashae Bartholomew] *
1 [Noah Bean] *
1 [Tony Goldwyn] *
1 [Erin Cummings]
)
= 2.84
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.16%
(2.70 × 1017 overall)
Dominant nodes (excluded from chart)King Richard 51.92%Jon Bernthal 19.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)