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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 1 [Dupont T] *
1 [Mark Dresser Quintet] *
1 [Mauger] *
4 [MSG (9)] *
1 [Raw Materials (2)] *
1 [Real People (5)] *
1 [Rudresh Mahanthappa's Indo Pak Coalition] *
4 [The Brooklyn Sax Quartet] *
100 [Ronan Guilfoyle] *
49 [John O’Gallagher]
)
= 5.02M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dupont T] *
1 [Mark Dresser Quintet] *
1 [Mauger] *
1 [MSG (9)] *
1 [Raw Materials (2)] *
1 [Real People (5)] *
1 [Rudresh Mahanthappa's Indo Pak Coalition] *
1 [The Brooklyn Sax Quartet] *
1 [Ronan Guilfoyle] *
1 [John O’Gallagher]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
10
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Ronan Guilfoyle 44.05%John O’Gallagher 21.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
