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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Patricia Allison] *
361 [Extraordinary] *
1 [Abraham Popoola] *
1 [Bilal Hasna] *
1 [Chris Lew Kum Hoi] *
1 [Darcey Porter-Cassidy] *
25 [Eros Vlahos] *
1 [Jane Shakespeare] *
9 [Joshua Leese] *
16 [Ned Porteous] *
1 [Olivia Marcus] *
16 [Robbie Gee] *
16 [Safia Oakley-Green] *
1 [Sam Haygarth] *
1 [Shaun Mason] *
1 [Sofia Oxenham] *
1 [Ardal O'Hanlon] *
1 [Máiréad Tyers] *
1 [Siobhán McSweeney]
)
= 6.65B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Patricia Allison] *
1 [Extraordinary] *
1 [Abraham Popoola] *
1 [Bilal Hasna] *
1 [Chris Lew Kum Hoi] *
1 [Darcey Porter-Cassidy] *
1 [Eros Vlahos] *
1 [Jane Shakespeare] *
1 [Joshua Leese] *
1 [Ned Porteous] *
1 [Olivia Marcus] *
1 [Robbie Gee] *
1 [Safia Oakley-Green] *
1 [Sam Haygarth] *
1 [Shaun Mason] *
1 [Sofia Oxenham] *
1 [Ardal O'Hanlon] *
1 [Máiréad Tyers] *
1 [Siobhán McSweeney]
)
= 1.25
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Extraordinary 75.84%Eros Vlahos 5.25%Patricia Allison 4.20%Ned Porteous 3.36%Robbie Gee 3.36%Safia Oakley-Green 3.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)