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 *
( 42 [Kangwon] *
90 [North Pyongan] *
121 [North Korea] *
1 [Chagang] *
9 [North Hamgyong] *
1 [North Hwanghae] *
1 [Ryanggang] *
36 [South Hamgyong] *
9 [South Hwanghae] *
1 [South Pyongan] *
4 [Gold Lane] *
9 [조선민주주의인민공화국] *
1 [Chonsam Cooperative Farm] *
1 [Cuisine of Gangwon-do] *
1 [Photographs of flags of North Korea in Kangwon-do] *
1 [Ullim Waterfall] *
49 [Wonsan]
)
= 9.41T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Kangwon] *
1.11 [North Pyongan] *
1 [North Korea] *
1 [Chagang] *
1 [North Hamgyong] *
1 [North Hwanghae] *
1 [Ryanggang] *
1 [South Hamgyong] *
1 [South Hwanghae] *
1 [South Pyongan] *
1 [Gold Lane] *
1 [조선민주주의인민공화국] *
1 [Chonsam Cooperative Farm] *
1 [Cuisine of Gangwon-do] *
1 [Photographs of flags of North Korea in Kangwon-do] *
1 [Ullim Waterfall] *
1 [Wonsan]
)
= 1.3
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)North Korea 31.76%North Pyongan 23.62%Wonsan 12.86%Kangwon 11.02%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
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