Analyzing Network Connections...
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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 16 [Joey Dosik] *
64 [Vulfpeck] *
4 [Theo Katzman] *
4 [Joe Dart] *
1 [Woody Goss] *
1 [Jack Stratton] *
1 [Antwaun Stanley] *
1 [Jacob Mann (2)] *
1 [Jon Batiste] *
4 [Stay Human] *
4 [The Fearless Flyers] *
4 [Mark Lettieri] *
1 [Ben Rector] *
1 [Dr. Mambo's Combo] *
16 [dirty loops] *
1 [Aron Mellergård] *
4 [Henrik Linder] *
4 [Jonah Nilsson] *
1 [Cory Wong Quartet] *
1 [Jazz Quartet (3)]
)
= 17.18B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Joey Dosik] *
1 [Vulfpeck] *
1 [Theo Katzman] *
1 [Joe Dart] *
1 [Woody Goss] *
1 [Jack Stratton] *
1 [Antwaun Stanley] *
1 [Jacob Mann (2)] *
1 [Jon Batiste] *
1 [Stay Human] *
1 [The Fearless Flyers] *
1 [Mark Lettieri] *
1 [Ben Rector] *
1 [Dr. Mambo's Combo] *
1 [dirty loops] *
1 [Aron Mellergård] *
1 [Henrik Linder] *
1 [Jonah Nilsson] *
1 [Cory Wong Quartet] *
1 [Jazz Quartet (3)]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
20
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Vulfpeck 32.32%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 29, 8:23 AM
City of Poughkeepsie, Dutchess County, United States
59
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