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, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 5 = 20
Base_Influence (IV) = $inbound / $outbound = 4 / 5 = 0.8
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 20 *
( 64 [The J. Geils Band] *
16 [Peter Wolf] *
36 [J. Geils Band] *
1 [Knaggs Guitars] *
25 [Duke Levine] *
1 [Kevin Barry] *
1 [Marty Ballou] *
1 [Tom Arey] *
4 [Skeeter Meeter] *
1 [The Duke Levine Group] *
4 [Flash & The Ruins] *
56 [The Mike Gibbs Orchestra]
)
= 16.52B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.8 *
( 1 [The J. Geils Band] *
1 [Peter Wolf] *
1 [J. Geils Band] *
1 [Knaggs Guitars] *
1 [Duke Levine] *
1 [Kevin Barry] *
1 [Marty Ballou] *
1 [Tom Arey] *
1 [Skeeter Meeter] *
1 [The Duke Levine Group] *
1 [Flash & The Ruins] *
0.875 [The Mike Gibbs Orchestra]
)
= 0.7
Outbound
4
Tags on post
Inbound
5
Posts tagging this
Connections
12
Total nodes
Base Node Strength
20
Base Node Influence
0.8
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The J. Geils Band 27.83%The Mike Gibbs Orchestra 24.35%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 7, 10:35 PM
New York, Bronx County, United States
50
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