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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 4 [Haley Bennett] *
36 [Glenn Close] *
100 [Amy Adams] *
4 [Freida Pinto] *
9 [Sunny Mabrey] *
256 [Hillbilly Elegy] *
1 [Ethan Suess] *
16 [Gabriel Basso] *
1 [Jono Mitchell] *
1 [Morgan Gao] *
1 [Nathan Hesse] *
1 [Owen Asztalos] *
1 [Jesse C. Boyd] *
1 [Sarah Hudson] *
1 [Stephen Kunken] *
1 [Ted Huckabee] *
1 [Breaking News in Yuba County] *
4 [Dead to Me] *
16 [Diana Maria Riva]
)
= 1.22T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Haley Bennett] *
1 [Glenn Close] *
1 [Amy Adams] *
1 [Freida Pinto] *
1 [Sunny Mabrey] *
1 [Hillbilly Elegy] *
1 [Ethan Suess] *
1 [Gabriel Basso] *
1 [Jono Mitchell] *
1 [Morgan Gao] *
1 [Nathan Hesse] *
1 [Owen Asztalos] *
1 [Jesse C. Boyd] *
1 [Sarah Hudson] *
1 [Stephen Kunken] *
1 [Ted Huckabee] *
1 [Breaking News in Yuba County] *
1 [Dead to Me] *
1 [Diana Maria Riva]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Hillbilly Elegy 55.17%Amy Adams 21.55%Glenn Close 7.76%Gabriel Basso 3.45%Diana Maria Riva 3.45%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)