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, 3) = 3
$outbound = max(1, 0) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 1 = 3
Base_Influence (IV) = $inbound / $outbound = 3 / 1 = 3
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 3 *
( 36 [Matt Nathanson] *
4 [Jude Cole] *
4 [Ryan Star] *
1 [Steve Stout] *
1 [Sergio Andrade] *
16 [Sean Woolstenhulme] *
1 [Rick Woolstenhulme Jr.] *
1 [Jon "Diff" Palmer] *
1 [Bryce Soderberg] *
1 [Ben Carey] *
1 [Aaron Lord] *
1 [Jon Palmer (4)] *
1 [Rick Woolstenhulme] *
1 [Steve Stout (4)] *
9 [jason-wade] *
240 [Lifehouse] *
2 [Blyss (3)] *
2 [Ãzwald]
)
= 238.88M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 3 *
( 1 [Matt Nathanson] *
1 [Jude Cole] *
1 [Ryan Star] *
1 [Steve Stout] *
1 [Sergio Andrade] *
1 [Sean Woolstenhulme] *
1 [Rick Woolstenhulme Jr.] *
1 [Jon "Diff" Palmer] *
1 [Bryce Soderberg] *
1 [Ben Carey] *
1 [Aaron Lord] *
1 [Jon Palmer (4)] *
1 [Rick Woolstenhulme] *
1 [Steve Stout (4)] *
1 [jason-wade] *
0.9375 [Lifehouse] *
0.5 [Blyss (3)] *
0.5 [Ãzwald]
)
= 0.7031
Outbound
3
Tags on post
Inbound
0
Posts tagging this
Connections
18
Total nodes
Base Node Strength
3
Base Node Influence
3
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lifehouse 73.62%Matt Nathanson 11.04%Sean Woolstenhulme 4.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
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