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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 64 [DEAD CAN DANCE] *
4 [James Pinker] *
9 [BRENDAN PERRY] *
1 [Lisa Gerrard] *
1 [Peter Ulrich] *
1 [Richard Avison] *
1 [Scott Rodger] *
1 [Simon Monroe] *
1 [Elizabeth Fraser] *
36 [Cocteau Twins] *
36 [Simon Raymonde] *
1 [Ben Blakeman] *
16 [Robin Guthrie] *
16 [Will Heggie] *
49 [This Mortal Coil] *
49 [Martin McCarrick] *
25 [Alison Limerick] *
4 [John Fryer] *
1 [Ivo Watts Russell] *
1 [Louise Rutkowski]
)
= 1.65 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [DEAD CAN DANCE] *
1 [James Pinker] *
1 [BRENDAN PERRY] *
1 [Lisa Gerrard] *
1 [Peter Ulrich] *
1 [Richard Avison] *
1 [Scott Rodger] *
1 [Simon Monroe] *
1 [Elizabeth Fraser] *
1 [Cocteau Twins] *
1 [Simon Raymonde] *
1 [Ben Blakeman] *
1 [Robin Guthrie] *
1 [Will Heggie] *
1 [This Mortal Coil] *
1 [Martin McCarrick] *
1 [Alison Limerick] *
1 [John Fryer] *
1 [Ivo Watts Russell] *
1 [Louise Rutkowski]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.76%
(1.65 × 1015 overall)
Dominant nodes (excluded from chart)DEAD CAN DANCE 19.63%This Mortal Coil 15.03%Martin McCarrick 15.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)