Analyzing Network Connections...
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, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 1 [Bogova Waterfall] *
1 [Kuti] *
1 [Osum Canyon] *
1 [Park Natyror Kune-Vain-Tale] *
1 [Riserva naturale del Monte Lanaro] *
1 [Velika i Mala Petka] *
1 [Zavratnica] *
1 [Zrmanja Canyon] *
1 [Riserva naturale dei Laghi di Doberdò e Pietrarossa] *
1 [Syri i Kaltër]
)
= 100
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Bogova Waterfall] *
1 [Kuti] *
1 [Osum Canyon] *
1 [Park Natyror Kune-Vain-Tale] *
1 [Riserva naturale del Monte Lanaro] *
1 [Velika i Mala Petka] *
1 [Zavratnica] *
1 [Zrmanja Canyon] *
1 [Riserva naturale dei Laghi di Doberdò e Pietrarossa] *
1 [Syri i Kaltër]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
10
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 28, 12:35 AM
Dubrovnik, Dubrovnik-Neretva County, Albania
94