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, 4) = 4
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 2 = 8
Base_Influence (IV) = $inbound / $outbound = 4 / 2 = 2
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 8 *
( 12 [Aalto University Library] *
30 [Aalto University School of Science and Technology] *
1 [Alumni of Aalto University School of Science and Technology] *
1 [Dipoli] *
1 [FiR 1] *
4 [Metsähovi Radio Observatory] *
1 [Harald Herlin Learning Centre] *
1 [Institution:Aalto University Library]
)
= 11.5K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1.33 [Aalto University Library] *
1.2 [Aalto University School of Science and Technology] *
1 [Alumni of Aalto University School of Science and Technology] *
1 [Dipoli] *
1 [FiR 1] *
1 [Metsähovi Radio Observatory] *
1 [Harald Herlin Learning Centre] *
1 [Institution:Aalto University Library]
)
= 3.2
Outbound
4
Tags on post
Inbound
2
Posts tagging this
Connections
8
Total nodes
Base Node Strength
8
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Aalto University School of Science and Technology 50.85%Aalto University Library 20.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Aalto University School of Art and Design
BROKEN LINK