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 *
( 15 [Jacqueline Mazarella] *
6 [Antonio Fargas] *
100 [Terry Crews] *
16 [Travis Flory] *
9 [Tichina Arnold] *
289 [Everybody Hates Chris] *
1 [Blake Hightower] *
1 [Ernest Thomas] *
16 [Imani Hakim] *
9 [Jeris Poindexter] *
1 [Kevontay Jackson] *
1 [Michel Estime] *
1 [Paige Hurd] *
1 [Todd Bridges] *
1 [Vincent Martella] *
1 [Tyler James Williams] *
1 [Jackée Harry]
)
= 53.93B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.67 [Jacqueline Mazarella] *
1.5 [Antonio Fargas] *
1 [Terry Crews] *
1 [Travis Flory] *
1 [Tichina Arnold] *
1 [Everybody Hates Chris] *
1 [Blake Hightower] *
1 [Ernest Thomas] *
1 [Imani Hakim] *
1 [Jeris Poindexter] *
1 [Kevontay Jackson] *
1 [Michel Estime] *
1 [Paige Hurd] *
1 [Todd Bridges] *
1 [Vincent Martella] *
1 [Tyler James Williams] *
1 [Jackée Harry]
)
= 2.5
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)
Dominant nodes (excluded from chart)Everybody Hates Chris 61.49%Terry Crews 21.28%Travis Flory 3.40%Imani Hakim 3.40%Jacqueline Mazarella 3.19%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)