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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 32 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 25 [Cherry Filter] *
9 [Crying Nut] *
1 [Deulgukhwa] *
1 [Guckkasten] *
169 [N.EX.T] *
9 [No Brain] *
4 [Sinawe] *
16 [The Geeks] *
1 [ê1ëa
ì§] *
1 [Ki (5)] *
1 [ê°ì¤ì±] *
1 [ê¹ì¸ì] *
1 [ì´ìí] *
1 [Minjun Jung] *
1 [ì´ì±ì°] *
16 [Shin Hae-chul] *
1 [ì í ́ì2] *
1 [ìë] *
1 [Devin Lee (2)] *
1 [Jade (147)] *
1 [Jy Hyunsu] *
1 [Kim Daan] *
1 [Kim Sehwang] *
1 [Kim Youngsuk] *
1 [Kisong Chung] *
1 [Lee Sooyong] *
1 [ì ́ëê·] *
1 [Son Star] *
1 [Woo Jin. J] *
1 [YaenheaD] *
1 [Youjeen] *
1 [Seo Taiji]
)
= 22.43B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cherry Filter] *
1 [Crying Nut] *
1 [Deulgukhwa] *
1 [Guckkasten] *
1 [N.EX.T] *
1 [No Brain] *
1 [Sinawe] *
1 [The Geeks] *
1 [ê1ëa
ì§] *
1 [Ki (5)] *
1 [ê°ì¤ì±] *
1 [ê¹ì¸ì] *
1 [ì´ìí] *
1 [Minjun Jung] *
1 [ì´ì±ì°] *
1 [Shin Hae-chul] *
1 [ì í ́ì2] *
1 [ìë] *
1 [Devin Lee (2)] *
1 [Jade (147)] *
1 [Jy Hyunsu] *
1 [Kim Daan] *
1 [Kim Sehwang] *
1 [Kim Youngsuk] *
1 [Kisong Chung] *
1 [Lee Sooyong] *
1 [ì ́ëê·] *
1 [Son Star] *
1 [Woo Jin. J] *
1 [YaenheaD] *
1 [Youjeen] *
1 [Seo Taiji]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
32
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)N.EX.T 50.15%Cherry Filter 7.42%The Geeks 4.75%Shin Hae-chul 4.75%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)