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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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 49 [Amaran] *
16 [Niklas Sandin] *
1 [Gunnar Hammar] *
1 [Ronnie Backlund] *
4 [Kari Kainulainen] *
1 [Johanna De Pierre] *
1 [Mikael Andersson (11)] *
64 [october-tide] *
36 [Jonas Renkse] *
64 [Fredrik Norrman] *
121 [Mattias Norrman] *
1 [Jonas Sköld] *
4 [Pierre Stam] *
4 [Tobias Netzell] *
1 [Emil Alstermark]
)
= 3.58T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Amaran] *
1 [Niklas Sandin] *
1 [Gunnar Hammar] *
1 [Ronnie Backlund] *
1 [Kari Kainulainen] *
1 [Johanna De Pierre] *
1 [Mikael Andersson (11)] *
1 [october-tide] *
1 [Jonas Renkse] *
1 [Fredrik Norrman] *
1 [Mattias Norrman] *
1 [Jonas Sköld] *
1 [Pierre Stam] *
1 [Tobias Netzell] *
1 [Emil Alstermark]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
15
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Mattias Norrman 32.53%october-tide 17.20%Fredrik Norrman 17.20%Amaran 13.17%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 17, 4:00 PM
Los Angeles County, United States
34
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