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, 18) = 18
$outbound = max(1, 15) = 15
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 18 * 15 = 270
Base_Influence (IV) = $inbound / $outbound = 18 / 15 = 1.2
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 270 *
( 1 [Colours of Ostrava] *
1 [Courts in Ostrava] *
1 [Cultural monuments in Ostrava] *
1 [Demography of Ostrava] *
1 [Environment of Ostrava] *
1 [Fountains in Ostrava] *
1 [Municipal parts of Ostrava] *
1 [Night in Ostrava] *
1 [Organizations of Ostrava] *
1 [Society of Ostrava] *
1 [Squares in Ostrava] *
1 [Streets in Ostrava] *
1 [Structures in Ostrava] *
1 [Symbols of Ostrava] *
1 [Trails in Ostrava]
)
= 270
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2 *
( 1 [Colours of Ostrava] *
1 [Courts in Ostrava] *
1 [Cultural monuments in Ostrava] *
1 [Demography of Ostrava] *
1 [Environment of Ostrava] *
1 [Fountains in Ostrava] *
1 [Municipal parts of Ostrava] *
1 [Night in Ostrava] *
1 [Organizations of Ostrava] *
1 [Society of Ostrava] *
1 [Squares in Ostrava] *
1 [Streets in Ostrava] *
1 [Structures in Ostrava] *
1 [Symbols of Ostrava] *
1 [Trails in Ostrava]
)
= 1.2
Outbound
18
Tags on post
Inbound
15
Posts tagging this
Connections
15
Total nodes
Base Node Strength
270
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)
Sports in Ostrava
BROKEN LINKUnidentified locations in Ostrava
BROKEN LINKWinter in Ostrava
BROKEN LINK
