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, 13) = 13
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 25 [Cherry Filter] *
9 [Crying Nut] *
1 [Deulgukhwa] *
1 [Guckkasten] *
9 [No Brain] *
4 [Sinawe] *
16 [The Geeks] *
64 [Korean rock] *
16 [Shin Hae-chul] *
4 [Monocrom (2)] *
1 [Nodance] *
1 [Wittgenstein (2)] *
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·]
)
= 89.71B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cherry Filter] *
1 [Crying Nut] *
1 [Deulgukhwa] *
1 [Guckkasten] *
1 [No Brain] *
1 [Sinawe] *
1 [The Geeks] *
1 [Korean rock] *
1 [Shin Hae-chul] *
1 [Monocrom (2)] *
1 [Nodance] *
1 [Wittgenstein (2)] *
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
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
23
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Korean rock 19.34%Cherry Filter 7.55%The Geeks 4.83%Shin Hae-chul 4.83%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)