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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 144 [Exumer] *
1 [Bernd Cramer] *
1 [Matthias Kassner] *
1 [Mem V. Stein] *
1 [Ray Mensh] *
1 [Bernie Siedler] *
1 [H. K.] *
1 [J.P. Rapp] *
1 [John Cadden] *
1 [Mehmet Zendut] *
1 [Paul Arakari] *
1 [Syke Bornetto] *
121 [Jeff Mills] *
100 [Subzero] *
4 [Eddie Ortiz] *
16 [Rigg Ross] *
1 [Jim Eaton] *
9 [Larry Nieroda] *
1 [Lawrence Susi] *
1 [Lu Di Bella] *
1 [Matthew Mangiaracina] *
1 [Rich Kennon]
)
= 4.01B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Exumer] *
1 [Bernd Cramer] *
1 [Matthias Kassner] *
1 [Mem V. Stein] *
1 [Ray Mensh] *
1 [Bernie Siedler] *
1 [H. K.] *
1 [J.P. Rapp] *
1 [John Cadden] *
1 [Mehmet Zendut] *
1 [Paul Arakari] *
1 [Syke Bornetto] *
1 [Jeff Mills] *
1 [Subzero] *
1 [Eddie Ortiz] *
1 [Rigg Ross] *
1 [Jim Eaton] *
1 [Larry Nieroda] *
1 [Lawrence Susi] *
1 [Lu Di Bella] *
1 [Matthew Mangiaracina] *
1 [Rich Kennon]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
22
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Exumer 34.78%Jeff Mills 29.23%Subzero 24.15%Rigg Ross 3.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)