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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 1 [Corky Siegel] *
1 [Jim Schwall] *
1 [Jack Dawson] *
1 [Jos Davidson] *
1 [Mark Siegel (3)] *
1 [Rollo Radford] *
1 [Russ Chadwick] *
9 [Sam Lay] *
1 [Shelly Plotkin] *
324 [Butterfield Blues Band] *
529 [The Paul Butterfield Blues Band]
)
= 124.95M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Corky Siegel] *
1 [Jim Schwall] *
1 [Jack Dawson] *
1 [Jos Davidson] *
1 [Mark Siegel (3)] *
1 [Rollo Radford] *
1 [Russ Chadwick] *
1 [Sam Lay] *
1 [Shelly Plotkin] *
1 [Butterfield Blues Band] *
1 [The Paul Butterfield Blues Band]
)
= 1
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
11
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Paul Butterfield Blues Band 55.63%Butterfield Blues Band 34.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)