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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 1 [Natalie Box] *
400 [CARDIACS] *
121 [Kavus Torabi] *
9 [Melanie Woods] *
1 [Bill Hiles] *
81 [Bob Leith] *
1 [Cathy Harabaras] *
1 [Christian Hayes] *
1 [Claire Lemmon] *
1 [Colvin Mayers] *
1 [Dawn Staple] *
36 [Dominic Luckman] *
1 [Jim Smith (4)] *
144 [Jon Poole] *
1 [Marguerite Johnston] *
1 [Mark Cawthra] *
1 [Miss Swift] *
1 [Sarah Smith (2)] *
9 [Sharron Fortnam] *
64 [William D. Drake]
)
= 105.36T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Natalie Box] *
1 [CARDIACS] *
1 [Kavus Torabi] *
1 [Melanie Woods] *
1 [Bill Hiles] *
1 [Bob Leith] *
1 [Cathy Harabaras] *
1 [Christian Hayes] *
1 [Claire Lemmon] *
1 [Colvin Mayers] *
1 [Dawn Staple] *
1 [Dominic Luckman] *
1 [Jim Smith (4)] *
1 [Jon Poole] *
1 [Marguerite Johnston] *
1 [Mark Cawthra] *
1 [Miss Swift] *
1 [Sarah Smith (2)] *
1 [Sharron Fortnam] *
1 [William D. Drake]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)CARDIACS 45.61%Jon Poole 16.42%Kavus Torabi 13.80%Bob Leith 9.24%William D. Drake 7.30%Dominic Luckman 4.10%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)