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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 400 [Krokus] *
256 [Frutig] *
1 [Adelboden] *
1 [Aeschi bei Spiez] *
1 [Därstetten] *
1 [Diemtigen] *
1 [Erlenbach im Simmental] *
1 [Frutigen] *
1 [Kandergrund] *
1 [Kandersteg] *
1 [Krattigen] *
1 [Mülenen] *
1 [Oberwil im Simmental] *
1 [Reichenbach im Kandertal] *
1 [Spiez] *
1 [Wimmis]
)
= 102.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Krokus] *
1 [Frutig] *
1 [Adelboden] *
1 [Aeschi bei Spiez] *
1 [Därstetten] *
1 [Diemtigen] *
1 [Erlenbach im Simmental] *
1 [Frutigen] *
1 [Kandergrund] *
1 [Kandersteg] *
1 [Krattigen] *
1 [Mülenen] *
1 [Oberwil im Simmental] *
1 [Reichenbach im Kandertal] *
1 [Spiez] *
1 [Wimmis]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Krokus 59.61%Frutig 38.15%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 4, 12:37 PM
Frutigen, Frutigen-Niedersimmental administrative district, Switzerland
37
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