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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, 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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 196 *
( 4 [Caleb Shomo] *
324 [Attack Attack!] *
1 [Kamron Bradbury] *
1 [Oshie Bichar] *
4 [Connor Denis] *
225 [Being as an Ocean] *
1 [Taylor Lumley] *
1 [Brandon Mullins] *
1 [Nick Reed] *
1 [Will Deely] *
49 [Like Moths to Flames] *
4 [Zach Huston] *
1 [Beartooth - Full Force 2019] *
1 [Beartooth - Reload Festival 2018] *
1 [Beartooth - Rock am Ring 2017] *
1 [Beartooth - Rock am Ring 2019] *
1 [Beartooth - Rock im Park 2019]
)
= 44.81B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Caleb Shomo] *
1 [Attack Attack!] *
1 [Kamron Bradbury] *
1 [Oshie Bichar] *
1 [Connor Denis] *
1 [Being as an Ocean] *
1 [Taylor Lumley] *
1 [Brandon Mullins] *
1 [Nick Reed] *
1 [Will Deely] *
1 [Like Moths to Flames] *
1 [Zach Huston] *
1 [Beartooth - Full Force 2019] *
1 [Beartooth - Reload Festival 2018] *
1 [Beartooth - Rock am Ring 2017] *
1 [Beartooth - Rock am Ring 2019] *
1 [Beartooth - Rock im Park 2019]
)
= 1
Outbound
14
Tags on post
Inbound
14
Posts tagging this
Connections
17
Total nodes
Base Node Strength
196
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Attack Attack! 39.66%Being as an Ocean 27.54%Like Moths to Flames 6.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 27, 6:03 PM
Columbus, Franklin County, United States
34
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