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, 11) = 11
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 9 = 99
Base_Influence (IV) = $inbound / $outbound = 11 / 9 = 1.2222
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 99 *
( 1 [Malmö] *
1 [Architecture of Kristianstad] *
1 [Furriers in Kristianstad] *
1 [Kristianstad Södra] *
1 [Kvarnen i Kristianstad] *
1 [Streets in Kristianstad] *
4 [Långebro, Kristianstad] *
1 [Parks in Kristianstad] *
9 [Långebro] *
1 [Buses on Langebro]
)
= 3.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2222 *
( 1 [Malmö] *
1 [Architecture of Kristianstad] *
1 [Furriers in Kristianstad] *
1 [Kristianstad Södra] *
1 [Kvarnen i Kristianstad] *
1 [Streets in Kristianstad] *
1 [Långebro, Kristianstad] *
1 [Parks in Kristianstad] *
1 [Långebro] *
1 [Buses on Langebro]
)
= 1.22
Outbound
11
Tags on post
Inbound
9
Posts tagging this
Connections
10
Total nodes
Base Node Strength
99
Base Node Influence
1.2222
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Järnvägsundergång i Kristianstad
BROKEN LINKSports in Kristianstad
BROKEN LINK
