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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 42 [Bob Odenkirk] *
4 [Daniel Doheny] *
25 [Tom Bower] *
361 [Lucky Hank] *
36 [Haig Sutherland] *
64 [Diedrich Bader] *
16 [Alvina August] *
4 [Anne Gee Byrd] *
1 [Arthur Keng] *
25 [Cedric Yarbrough] *
25 [Dolores Drake] *
1 [Ellen MacNevin] *
1 [Jackson Kelly] *
4 [Mireille Enos] *
25 [Nancy Robertson] *
4 [Suzanne Cryer] *
1 [Sara Amini] *
1 [Shannon DeVido] *
4 [Oscar Nuñez]
)
= 2.24 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Bob Odenkirk] *
1 [Daniel Doheny] *
1 [Tom Bower] *
1 [Lucky Hank] *
1 [Haig Sutherland] *
1 [Diedrich Bader] *
1 [Alvina August] *
1 [Anne Gee Byrd] *
1 [Arthur Keng] *
1 [Cedric Yarbrough] *
1 [Dolores Drake] *
1 [Ellen MacNevin] *
1 [Jackson Kelly] *
1 [Mireille Enos] *
1 [Nancy Robertson] *
1 [Suzanne Cryer] *
1 [Sara Amini] *
1 [Shannon DeVido] *
1 [Oscar Nuñez]
)
= 1.17
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.16%
(2.24 × 1017 overall)
Dominant nodes (excluded from chart)Lucky Hank 55.97%Diedrich Bader 9.92%Bob Odenkirk 6.51%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)