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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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 3 [Jason Wade] *
1 [The Ravens (16)] *
36 [Matt Nathanson] *
4 [Ryan Star] *
1 [Steve Stout] *
1 [Sergio Andrade] *
9 [Sean Woolstenhulme] *
1 [Rick Woolstenhulme Jr.] *
1 [Jon "Diff" Palmer] *
1 [Bryce Soderberg] *
1 [Ben Carey] *
1 [Aaron Lord] *
1 [Jon Palmer (4)] *
1 [Rick Woolstenhulme] *
1 [Steve Stout (4)] *
9 [jason-wade] *
240 [Lifehouse]
)
= 33.59M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [Jason Wade] *
1 [The Ravens (16)] *
1 [Matt Nathanson] *
1 [Ryan Star] *
1 [Steve Stout] *
1 [Sergio Andrade] *
1 [Sean Woolstenhulme] *
1 [Rick Woolstenhulme Jr.] *
1 [Jon "Diff" Palmer] *
1 [Bryce Soderberg] *
1 [Ben Carey] *
1 [Aaron Lord] *
1 [Jon Palmer (4)] *
1 [Rick Woolstenhulme] *
1 [Steve Stout (4)] *
1 [jason-wade] *
0.9375 [Lifehouse]
)
= 2.81
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lifehouse 75.95%Matt Nathanson 11.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 12, 5:01 PM
Moline, Rock Island County, United States
62
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