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 *
( 361 [Pere Ubu] *
1 [Antonio Perez] *
1 [David Thomas] *
1 [Keith Moliné] *
1 [Robert Wheeler] *
4 [Steve Mehlman] *
36 [Eric Drew Feldman] *
4 [Kristof Hahn] *
4 [Allen Ravenstine] *
400 [Chris Cutler] *
1 [Dave Taylor (4)] *
4 [David Thomas (2)] *
1 [Garo Yellin] *
9 [Gary Siperko] *
1 [Graham Dowdall] *
4 [Jim Jones (3)] *
4 [Mayo Thompson] *
4 [Michele Temple] *
4 [Peter Laughner]
)
= 3.07T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Pere Ubu] *
1 [Antonio Perez] *
1 [David Thomas] *
1 [Keith Moliné] *
1 [Robert Wheeler] *
1 [Steve Mehlman] *
1 [Eric Drew Feldman] *
1 [Kristof Hahn] *
1 [Allen Ravenstine] *
1 [Chris Cutler] *
1 [Dave Taylor (4)] *
1 [David Thomas (2)] *
1 [Garo Yellin] *
1 [Gary Siperko] *
1 [Graham Dowdall] *
1 [Jim Jones (3)] *
1 [Mayo Thompson] *
1 [Michele Temple] *
1 [Peter Laughner]
)
= 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)
Dominant nodes (excluded from chart)Chris Cutler 47.28%Pere Ubu 42.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)