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 *
( 6 [Dale Godboldo] *
342 [Perry Mason] *
16 [Don Anderson] *
4 [Richard Anderson] *
9 [Ian Lithgow] *
16 [Wallace Langham] *
4 [Willis Bouchey] *
16 [Raymond Burr] *
4 [Bert Stevens] *
16 [Connie Cezon] *
25 [Kenneth MacDonald] *
16 [Lee Miller] *
36 [Morris Ankrum] *
9 [Wesley Lau] *
1 [George E. Stone] *
4 [S. John Launer] *
1 [William Hopper] *
1 [William Talman]
)
= 4.02 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Dale Godboldo] *
1.06 [Perry Mason] *
1 [Don Anderson] *
1 [Richard Anderson] *
1 [Ian Lithgow] *
1 [Wallace Langham] *
1 [Willis Bouchey] *
1 [Raymond Burr] *
1 [Bert Stevens] *
1 [Connie Cezon] *
1 [Kenneth MacDonald] *
1 [Lee Miller] *
1 [Morris Ankrum] *
1 [Wesley Lau] *
1 [George E. Stone] *
1 [S. John Launer] *
1 [William Hopper] *
1 [William Talman]
)
= 1.58
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)
0.19%
(4.02 × 1016 overall)
Dominant nodes (excluded from chart)Perry Mason 64.90%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)