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 *
( 12 [Bill Moor] *
1 [Justin Henry] *
36 [Jane Alexander] *
324 [Kramer vs. Kramer] *
4 [Jess Osuna] *
25 [Meryl Streep] *
36 [Dustin Hoffman] *
1 [Carol Nadell] *
1 [Donald Gantry] *
9 [Ellen Parker] *
4 [George Coe] *
16 [Howard Duff] *
4 [Howland Chamberlain] *
1 [Jack Ramage] *
4 [JoBeth Williams] *
1 [Judith Calder] *
1 [Nicholas Hormann] *
1 [Peter Lownds]
)
= 4.64T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Bill Moor] *
1 [Justin Henry] *
1 [Jane Alexander] *
1 [Kramer vs. Kramer] *
1 [Jess Osuna] *
1 [Meryl Streep] *
1 [Dustin Hoffman] *
1 [Carol Nadell] *
1 [Donald Gantry] *
1 [Ellen Parker] *
1 [George Coe] *
1 [Howard Duff] *
1 [Howland Chamberlain] *
1 [Jack Ramage] *
1 [JoBeth Williams] *
1 [Judith Calder] *
1 [Nicholas Hormann] *
1 [Peter Lownds]
)
= 1.33
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)
Dominant nodes (excluded from chart)Kramer vs. Kramer 67.22%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)