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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 361 [Oldboy] *
1 [Chae-soo Jang] *
16 [Choi Min-sik] *
1 [Il-han Oo] *
9 [Jae-Duk Han] *
4 [Ji Dae-han] *
1 [Jin-Seo Yoon] *
1 [Kang Hye-jeong] *
9 [Kim Byeong-Ok] *
1 [Mi Mi Lee] *
16 [Oh Dal-su] *
16 [Oh Tae-kyung] *
1 [San Kim] *
1 [Seung-shin Lee] *
25 [Yoo Ji-tae] *
9 [Yoo Yeon-Seok] *
1 [Young-ae Kim] *
1 [Young-hee Lee] *
16 [Lee Dae-yeon]
)
= 1.72T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Oldboy] *
1 [Chae-soo Jang] *
1 [Choi Min-sik] *
1 [Il-han Oo] *
1 [Jae-Duk Han] *
1 [Ji Dae-han] *
1 [Jin-Seo Yoon] *
1 [Kang Hye-jeong] *
1 [Kim Byeong-Ok] *
1 [Mi Mi Lee] *
1 [Oh Dal-su] *
1 [Oh Tae-kyung] *
1 [San Kim] *
1 [Seung-shin Lee] *
1 [Yoo Ji-tae] *
1 [Yoo Yeon-Seok] *
1 [Young-ae Kim] *
1 [Young-hee Lee] *
1 [Lee Dae-yeon]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Oldboy 73.52%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)