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, 6) = 6
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 5 = 30
Base_Influence (IV) = $inbound / $outbound = 6 / 5 = 1.2
// 3. Exponential Network Values (accumulating 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 30 *
( 1 [Mensa] *
1 [Facilities of Technische Universität Berlin] *
1 [Faculty of Technische Universität Berlin] *
1 [Projekt E-Bus Berlin] *
1 [Student organizations of TU Berlin]
)
= 30
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2 *
( 1 [Mensa] *
1 [Facilities of Technische Universität Berlin] *
1 [Faculty of Technische Universität Berlin] *
1 [Projekt E-Bus Berlin] *
1 [Student organizations of TU Berlin]
)
= 1.2
Outbound
6
Tags on post
Inbound
5
Posts tagging this
Connections
5
Total nodes
Base Node Strength
30
Base Node Influence
1.2
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Alumni of Technische Universität Berlin
BROKEN LINK