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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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 4 [The Orkustra] *
1 [David LaFlamme Band] *
144 [it’s a beautiful day] *
16 [Bobby Beausoleil] *
9 [Bud Cockrell] *
4 [Tom Fowler] *
1 [Billy Gregory] *
1 [Fred Webb] *
4 [Gregory Bloch] *
1 [Hal Wagenet] *
1 [Linda LaFlamme] *
1 [Mitchell Holman] *
1 [Pattie Santos] *
1 [Toby Gray] *
1 [Val Fuentes]
)
= 11.94M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Orkustra] *
1 [David LaFlamme Band] *
1 [it’s a beautiful day] *
1 [Bobby Beausoleil] *
1 [Bud Cockrell] *
1 [Tom Fowler] *
1 [Billy Gregory] *
1 [Fred Webb] *
1 [Gregory Bloch] *
1 [Hal Wagenet] *
1 [Linda LaFlamme] *
1 [Mitchell Holman] *
1 [Pattie Santos] *
1 [Toby Gray] *
1 [Val Fuentes]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
15
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)it’s a beautiful day 72.36%Bobby Beausoleil 8.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 20, 2:43 PM
Kern County, United States
23
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