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, 7) = 7
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 2 = 14
Base_Influence (IV) = $inbound / $outbound = 7 / 2 = 3.5
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 14 *
( 121 [North Korea] *
9 [North Hamgyong] *
9 [Hoeryong] *
1 [Bank of Korea Museum] *
1 [Chosen Hotel] *
1 [Keijo Nippo] *
1 [People associated with Keijō Imperial University] *
1 [Gyeongseong] *
1 [Maeil Sinbo] *
1 [Seoul in the 1940s]
)
= 137.2K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 3.5 *
( 1 [North Korea] *
1 [North Hamgyong] *
1 [Hoeryong] *
1 [Bank of Korea Museum] *
1 [Chosen Hotel] *
1 [Keijo Nippo] *
1 [People associated with Keijō Imperial University] *
1 [Gyeongseong] *
1 [Maeil Sinbo] *
1 [Seoul in the 1940s]
)
= 3.5
Outbound
7
Tags on post
Inbound
2
Posts tagging this
Connections
10
Total nodes
Base Node Strength
14
Base Node Influence
3.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)North Korea 75.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Keijō Imperial University
BROKEN LINK