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 [Saniyya Sidney] *
121 [Jon Bernthal] *
324 [King Richard] *
25 [Aunjanue Ellis-Taylor] *
9 [Brad Greenquist] *
1 [Calvin Clausell Jr.] *
9 [Craig Tate] *
16 [Demi Singleton] *
16 [Erika Ringor] *
1 [Jimmy Walker Jr.] *
1 [Josiah Cross] *
9 [Kevin Dunn] *
1 [Layla Crawford] *
1 [Mikayla Lashae Bartholomew] *
9 [Noah Bean] *
16 [Tony Goldwyn] *
9 [Vaughn W. Hebron] *
25 [Erin Cummings]
)
= 7.11 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Saniyya Sidney] *
1 [Jon Bernthal] *
1 [King Richard] *
1 [Aunjanue Ellis-Taylor] *
1 [Brad Greenquist] *
1 [Calvin Clausell Jr.] *
1 [Craig Tate] *
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 [Vaughn W. Hebron] *
1 [Erin Cummings]
)
= 1.33
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)
0.17%
(7.11 × 1016 overall)
Dominant nodes (excluded from chart)King Richard 53.47%Jon Bernthal 19.97%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)