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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 256 [New Model Army] *
25 [Ricky Warwick] *
1 [Stuart Morrow] *
4 [Jason Harris] *
9 [Adrian Portas] *
1 [Ceri Monger] *
1 [Dean White] *
4 [Ed Alleyne Johnson] *
1 [Justin Sullivan] *
1 [Marshall Gill] *
1 [Michael Dean] *
9 [Peter Nice] *
1 [Phil Tompkins] *
1 [Rob Waddington (2)] *
1 [Robert Heaton] *
1 [Shir Ran Yinon] *
16 [Baby Vultures] *
1 [Richard Aspland] *
1 [Mark Williamson] *
1 [Roger Barrett]
)
= 530.84M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [New Model Army] *
1 [Ricky Warwick] *
1 [Stuart Morrow] *
1 [Jason Harris] *
1 [Adrian Portas] *
1 [Ceri Monger] *
1 [Dean White] *
1 [Ed Alleyne Johnson] *
1 [Justin Sullivan] *
1 [Marshall Gill] *
1 [Michael Dean] *
1 [Peter Nice] *
1 [Phil Tompkins] *
1 [Rob Waddington (2)] *
1 [Robert Heaton] *
1 [Shir Ran Yinon] *
1 [Baby Vultures] *
1 [Richard Aspland] *
1 [Mark Williamson] *
1 [Roger Barrett]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)New Model Army 75.29%Ricky Warwick 7.35%Baby Vultures 4.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)