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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 576 [Ginger Baker] *
64 [Clive Deamer] *
16 [Andy Anderson] *
400 [HAWKWIND] *
196 [Alan Davey] *
4 [Bill Barclay] *
81 [Lemmy Kilmister] *
81 [Dave Brock] *
9 [Alan Powell] *
4 [Haz Wheaton] *
121 [Ian Fraser Kilmister] *
25 [Adrian Shaw] *
36 [Bridget Wishart] *
1 [Danny Thompson (3)] *
9 [Dave Anderson (3)] *
16 [Del Dettmar] *
4 [Dik Mik] *
1 [Doug MacKinnon (2)] *
16 [Harvey Bainbridge] *
1 [Jason Stuart]
)
= 4.38 x 10^25
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ginger Baker] *
1 [Clive Deamer] *
1 [Andy Anderson] *
1 [HAWKWIND] *
1 [Alan Davey] *
1 [Bill Barclay] *
1 [Lemmy Kilmister] *
1 [Dave Brock] *
1 [Alan Powell] *
1 [Haz Wheaton] *
1 [Ian Fraser Kilmister] *
1 [Adrian Shaw] *
1 [Bridget Wishart] *
1 [Danny Thompson (3)] *
1 [Dave Anderson (3)] *
1 [Del Dettmar] *
1 [Dik Mik] *
1 [Doug MacKinnon (2)] *
1 [Harvey Bainbridge] *
1 [Jason Stuart]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.06%
(4.38 × 1025 overall)
Dominant nodes (excluded from chart)Ginger Baker 34.66%HAWKWIND 24.07%Alan Davey 11.79%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 26, 2:08 PM
Charlotte, Mecklenburg County, United States
36
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