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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 64 [The J. Geils Band] *
1 [Danny Klein] *
16 [J. Geils] *
4 [Magic Dick] *
4 [Seth Justman] *
4 [Stephen Bladd] *
4 [Daniel Klein (2)] *
9 [Richard Salwitz] *
36 [J. Geils Band] *
1 [Knaggs Guitars] *
25 [Duke Levine] *
1 [Kevin Barry] *
1 [Marty Ballou] *
1 [Tom Arey] *
20 [midnight travellers]
)
= 679.48B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The J. Geils Band] *
1 [Danny Klein] *
1 [J. Geils] *
1 [Magic Dick] *
1 [Seth Justman] *
1 [Stephen Bladd] *
1 [Daniel Klein (2)] *
1 [Richard Salwitz] *
1 [J. Geils Band] *
1 [Knaggs Guitars] *
1 [Duke Levine] *
1 [Kevin Barry] *
1 [Marty Ballou] *
1 [Tom Arey] *
0.8 [midnight travellers]
)
= 0.8
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
15
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The J. Geils Band 30.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 15, 2:28 AM
New York, Bronx County, United States
45
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