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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 1 [Jordana Spiro] *
4 [Jason Bateman] *
4 [Robert C. Treveiler] *
25 [Bruce Davison] *
16 [Julia Garner] *
64 [Laura Linney] *
25 [Damian Young] *
16 [Justin Randell Brooke] *
16 [Josh Randall] *
400 [Ozark] *
1 [Carson Holmes] *
4 [Charlie Tahan] *
9 [Janet McTeer] *
9 [Jason Butler Harner] *
1 [Jessica Frances Dukes] *
1 [Lisa Emery] *
1 [McKinley Belcher III] *
1 [Kevin L. Johnson] *
1 [Skylar Gaertner] *
1 [Sofia Hublitz]
)
= 339.74T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jordana Spiro] *
1 [Jason Bateman] *
1 [Robert C. Treveiler] *
1 [Bruce Davison] *
1 [Julia Garner] *
1 [Laura Linney] *
1 [Damian Young] *
1 [Justin Randell Brooke] *
1 [Josh Randall] *
1 [Ozark] *
1 [Carson Holmes] *
1 [Charlie Tahan] *
1 [Janet McTeer] *
1 [Jason Butler Harner] *
1 [Jessica Frances Dukes] *
1 [Lisa Emery] *
1 [McKinley Belcher III] *
1 [Kevin L. Johnson] *
1 [Skylar Gaertner] *
1 [Sofia Hublitz]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Ozark 66.56%Laura Linney 10.65%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)