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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Choi Min-sik] *
324 [I Saw the Devil] *
9 [Lee Byung-hun] *
4 [Cheol-woo Han] *
1 [Choi Jin-ho] *
1 [Choi Moo-seong] *
1 [Chun Ho-jin] *
1 [Eom Tae-goo] *
1 [In-seo Kim] *
1 [Jeon Gook-hwan] *
1 [Jo Deok-jae] *
1 [Kim Kang-il] *
1 [Kim Kap-su] *
1 [Lee Jun-hyuk] *
1 [Myeong-Yeon Jo] *
1 [San-ha Oh] *
1 [Yoon Byung-hee] *
1 [Yoon-seo Kim]
)
= 186.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Choi Min-sik] *
1 [I Saw the Devil] *
1 [Lee Byung-hun] *
1 [Cheol-woo Han] *
1 [Choi Jin-ho] *
1 [Choi Moo-seong] *
1 [Chun Ho-jin] *
1 [Eom Tae-goo] *
1 [In-seo Kim] *
1 [Jeon Gook-hwan] *
1 [Jo Deok-jae] *
1 [Kim Kang-il] *
1 [Kim Kap-su] *
1 [Lee Jun-hyuk] *
1 [Myeong-Yeon Jo] *
1 [San-ha Oh] *
1 [Yoon Byung-hee] *
1 [Yoon-seo Kim]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)I Saw the Devil 88.04%Choi Min-sik 4.35%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)