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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 2 [Inharmonicity] *
1 [Annie Bird] *
25 [Brian Hodgson] *
1 [David Vorhaus] *
1 [John Whitman] *
4 [Mark Jenkins] *
1 [Mike Painter] *
1 [Val Shaw] *
361 [Paul Lytton] *
9 [BBC Radiophonic Workshop] *
1 [Daphne Oram] *
90 [White Noise]
)
= 233.93M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Inharmonicity] *
1 [Annie Bird] *
1 [Brian Hodgson] *
1 [David Vorhaus] *
1 [John Whitman] *
1 [Mark Jenkins] *
1 [Mike Painter] *
1 [Val Shaw] *
1 [Paul Lytton] *
1 [BBC Radiophonic Workshop] *
1 [Daphne Oram] *
0.9 [White Noise]
)
= 1.8
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Paul Lytton 72.06%White Noise 17.96%Brian Hodgson 4.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)