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Network Profile
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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 31 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 1 [Mandinka people] *
4 [Ginger Baker Band] *
25 [Autonomous Zone] *
225 [Material] *
4 [Mandingo Griot Society] *
16 [The Rockit Band] *
16 [Flying Mijinko Band] *
4 [Possession (2)] *
1 [The Ripple Effect] *
1 [Tokyo Rotation] *
576 [Ginger Baker] *
289 [Toshinori Kondō] *
441 [Bill Laswell] *
100 [Peter Brotzmann] *
289 [Anton Fier] *
324 [bootsy collins] *
25 [Nile Rodgers] *
64 [Jeff Bova] *
361 [Billy Bang] *
324 [Bernie Worrell] *
324 [Fred Frith] *
25 [Fred Maher] *
64 [Jonas Hellborg] *
9 [Michael Beinhorn] *
9 [Robert Quine] *
81 [Henry Threadgill] *
49 [Aïyb Dieng] *
64 [Nicky Skopelitis] *
100 [Michael Hampton] *
81 [Adam Rudolph] *
81 [Bernard Fowler]
)
= 8.30 x 10^51
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mandinka people] *
1 [Ginger Baker Band] *
1 [Autonomous Zone] *
1 [Material] *
1 [Mandingo Griot Society] *
1 [The Rockit Band] *
1 [Flying Mijinko Band] *
1 [Possession (2)] *
1 [The Ripple Effect] *
1 [Tokyo Rotation] *
1 [Ginger Baker] *
1 [Toshinori Kondō] *
1 [Bill Laswell] *
1 [Peter Brotzmann] *
1 [Anton Fier] *
1 [bootsy collins] *
1 [Nile Rodgers] *
1 [Jeff Bova] *
1 [Billy Bang] *
1 [Bernie Worrell] *
1 [Fred Frith] *
1 [Fred Maher] *
1 [Jonas Hellborg] *
1 [Michael Beinhorn] *
1 [Robert Quine] *
1 [Henry Threadgill] *
1 [Aïyb Dieng] *
1 [Nicky Skopelitis] *
1 [Michael Hampton] *
1 [Adam Rudolph] *
1 [Bernard Fowler]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
31
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.45%
(8.30 × 1051 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 3, 3:29 AM
Pennsylvania, United States
33
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