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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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 256 [W.A.S.P.] *
121 [Patrick Johansson] *
49 [Steve Riley] *
1 [W.A.S.P. – Vicar St Mar 30] *
25 [Frankie Banali] *
9 [Stet Howland] *
4 [Glenn Holland (2)] *
4 [Chris Holmes (2)] *
9 [Darrell Roberts] *
1 [Don Costa (3)] *
1 [Douglas Blair Lucek] *
1 [Johnny Rod] *
1 [Mike "Spud" Dupke] *
1 [Mike Duda] *
16 [Rik Fox] *
1 [Tony Richards (4)] *
25 [Nikki Sixx] *
4 [Sister (11)]
)
= 314.74T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [W.A.S.P.] *
1 [Patrick Johansson] *
1 [Steve Riley] *
1 [W.A.S.P. – Vicar St Mar 30] *
1 [Frankie Banali] *
1 [Stet Howland] *
1 [Glenn Holland (2)] *
1 [Chris Holmes (2)] *
1 [Darrell Roberts] *
1 [Don Costa (3)] *
1 [Douglas Blair Lucek] *
1 [Johnny Rod] *
1 [Mike "Spud" Dupke] *
1 [Mike Duda] *
1 [Rik Fox] *
1 [Tony Richards (4)] *
1 [Nikki Sixx] *
1 [Sister (11)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)W.A.S.P. 48.03%Patrick Johansson 22.70%Steve Riley 9.19%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 24, 6:04 AM
Los Angeles County, United States
43
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