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, 14) = 14
$outbound = max(1, 14) = 14
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 14 * 14 = 196
Base_Influence (IV) = $inbound / $outbound = 14 / 14 = 1
// 3. Exponential Network Values (accumulating 28 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 196 *
( 25 [AVA Recordings] *
9 [Andy Moor] *
16 [Giuseppe Ottaviani] *
144 [Markus Schulz] *
1 [Alex M.O.R.P.H.] *
36 [Paul van Dyk] *
9 [Cosmic Gate] *
25 [Dash Berlin] *
4 [ATB] *
25 [David Guetta] *
1 [Aly & Fila] *
9 [Gareth Emery] *
81 [Schaffel] *
9 [DJ's United (3)] *
4 [Alibi] *
1 [E=mcÂ2] *
1 [Electrix] *
1 [Lilmotion] *
1 [Monsieur Basculant] *
1 [Triple A (5)] *
1 [Wodka Wasters] *
1 [A State of Trance] *
1 [Armin Only] *
1 [Armin & Friends] *
1 [Red & White] *
256 [Paul Oakenfold] *
16 [Irma Harrison] *
8 [Tiësto]
)
= 7.08 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [AVA Recordings] *
1 [Andy Moor] *
1 [Giuseppe Ottaviani] *
1 [Markus Schulz] *
1 [Alex M.O.R.P.H.] *
1 [Paul van Dyk] *
1 [Cosmic Gate] *
1 [Dash Berlin] *
1 [ATB] *
1 [David Guetta] *
1 [Aly & Fila] *
1 [Gareth Emery] *
1 [Schaffel] *
1 [DJ's United (3)] *
1 [Alibi] *
1 [E=mcÂ2] *
1 [Electrix] *
1 [Lilmotion] *
1 [Monsieur Basculant] *
1 [Triple A (5)] *
1 [Wodka Wasters] *
1 [A State of Trance] *
1 [Armin Only] *
1 [Armin & Friends] *
1 [Red & White] *
1 [Paul Oakenfold] *
1 [Irma Harrison] *
0.5 [Tiësto]
)
= 0.5
Outbound
14
Tags on post
Inbound
14
Posts tagging this
Connections
28
Total nodes
Base Node Strength
196
Base Node Influence
1
Strength Share (vs Direct Neighbours)
22.17%
(7.08 × 1022 overall)
Dominant nodes (excluded from chart)Paul Oakenfold 28.96%Markus Schulz 16.29%Schaffel 9.16%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 2, 4:27 AM
Bronx County, United States
70
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