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 *
( 20 [Kenneth Tobey] *
9 [Kevin McCarthy] *
4 [Robert Picardo] *
25 [Wendell Wright] *
16 [Noble Willingham] *
36 [Dennis Dugan] *
9 [Patrick Macnee] *
361 [The Howling] *
16 [Belinda Balaski] *
16 [Christopher Stone] *
4 [Dee Wallace] *
1 [Don McLeod] *
9 [Elisabeth Brooks] *
16 [James MacKrell] *
16 [James Murtaugh] *
9 [John Carradine] *
1 [Margie Impert] *
16 [Steve Nevil] *
20 [Slim Pickens]
)
= 2.29 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Kenneth Tobey] *
1 [Kevin McCarthy] *
1 [Robert Picardo] *
1 [Wendell Wright] *
1 [Noble Willingham] *
1 [Dennis Dugan] *
1 [Patrick Macnee] *
1 [The Howling] *
1 [Belinda Balaski] *
1 [Christopher Stone] *
1 [Dee Wallace] *
1 [Don McLeod] *
1 [Elisabeth Brooks] *
1 [James MacKrell] *
1 [James Murtaugh] *
1 [John Carradine] *
1 [Margie Impert] *
1 [Steve Nevil] *
0.8 [Slim Pickens]
)
= 1
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)
0.17%
(2.29 × 1020 overall)
Dominant nodes (excluded from chart)The Howling 59.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)