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Network Profile
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, 10) = 10
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 8 = 80
Base_Influence (IV) = $inbound / $outbound = 10 / 8 = 1.25
// 3. Exponential Network Values (accumulating 35 direct neighbours)
Network_Strength (CV) = Base_PV * (Π Neighbour_PVs) = 9.54 × 1028
Network_Influence (TV) = Base_IV * (Π Neighbour_IVs) = 1.904738
Outbound
10
Tags on post
Inbound
8
Posts tagging this
Connections
35
Total nodes
Base Node Strength
80
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
14.49%
(9.54 × 1028 overall)
Dominant nodes (excluded from chart)Oberplanitzing 35.51%Kaltern-Dorf 10.14%Unterplanitzing 8.88%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Connection Health Audit (Red = broken 1-way link)
Last calculated: May 5, 11:32 AM
Kaltern an der Weinstraße - Caldaro sulla Strada del Vino, South Tyrol, Italy
👁️ 36 Views