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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 1 [Michael F. Williams] *
484 [New Zealand Symphony Orchestra] *
9 [No specific members as it is a large orchestra] *
4 [Robert Ibell] *
1 [Alan Gold (4)] *
1 [Albert MacKinnon] *
4 [Alex Lindsay] *
1 [Alexa Still] *
1 [Alison Bowcott Gibbs] *
1 [Allan Chisholm] *
1 [Andrei Malashenko] *
1 [Andrew Jarvis (3)] *
1 [Andrew Joyce] *
1 [Andrew Kasza] *
1 [Andrew Thomson (2)] *
1 [Ann White (2)] *
1 [Anna Debnam] *
1 [Anna Van Der Zee] *
1 [Anne Loeser (2)] *
1 [Anne Marie Meijers] *
1 [Anthony Rive] *
1 [Barry Johnstone]
)
= 69.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Michael F. Williams] *
1 [New Zealand Symphony Orchestra] *
1 [No specific members as it is a large orchestra] *
1 [Robert Ibell] *
1 [Alan Gold (4)] *
1 [Albert MacKinnon] *
1 [Alex Lindsay] *
1 [Alexa Still] *
1 [Alison Bowcott Gibbs] *
1 [Allan Chisholm] *
1 [Andrei Malashenko] *
1 [Andrew Jarvis (3)] *
1 [Andrew Joyce] *
1 [Andrew Kasza] *
1 [Andrew Thomson (2)] *
1 [Ann White (2)] *
1 [Anna Debnam] *
1 [Anna Van Der Zee] *
1 [Anne Loeser (2)] *
1 [Anne Marie Meijers] *
1 [Anthony Rive] *
1 [Barry Johnstone]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
22
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)New Zealand Symphony Orchestra 93.08%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)