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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 32 [Wesleyan] *
12 [York University] *
20 [Terry Riley] *
20 [Wesleyan Gamelan] *
42 [Wesleyan University] *
42 [UCLA] *
25 [Peter Moran] *
25 [James I of England] *
25 [Richard Winslow] *
4 [Sumarsam] *
121 [Dennis Murphy] *
1 [Harjito] *
9 [Gamelan Sekar Petak] *
4 [Virgil Thomson] *
16 [Lou Harrison] *
25 [lou harrisson] *
9 [william colvig] *
56 [John Cage]
)
= 5.35 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Wesleyan] *
1.33 [York University] *
1.25 [Terry Riley] *
1.25 [Wesleyan Gamelan] *
1.17 [Wesleyan University] *
1.17 [UCLA] *
1 [Peter Moran] *
1 [James I of England] *
1 [Richard Winslow] *
1 [Sumarsam] *
1 [Dennis Murphy] *
1 [Harjito] *
1 [Gamelan Sekar Petak] *
1 [Virgil Thomson] *
1 [Lou Harrison] *
1 [lou harrisson] *
1 [william colvig] *
0.875 [John Cage]
)
= 4.96
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
18
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
6.87%
(5.35 × 1023 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
