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, 12) = 12
$outbound = max(1, 12) = 12
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 12 = 144
Base_Influence (IV) = $inbound / $outbound = 12 / 12 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 144 *
( 3 [Slovenija] *
2 [Nova Gorica] *
30 [Murska Sobota] *
1 [Celje] *
1 [Koper/Capodistria] *
1 [Kranj] *
1 [Ljubljana] *
1 [Novo Mesto] *
1 [Ptuj] *
1 [Slovenj Gradec] *
1 [Velenje] *
1 [Architecture of Murska Sobota] *
1 [Murska Sobota Airport] *
9 [Murska Sobota Gallery] *
1 [Sports in Murska Sobota] *
1 [Varstveno delovni center Murska Sobota] *
1 [western Slovenia] *
1 [Slovenia by media type]
)
= 233.3K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [Slovenija] *
2 [Nova Gorica] *
1.2 [Murska Sobota] *
1 [Celje] *
1 [Koper/Capodistria] *
1 [Kranj] *
1 [Ljubljana] *
1 [Novo Mesto] *
1 [Ptuj] *
1 [Slovenj Gradec] *
1 [Velenje] *
1 [Architecture of Murska Sobota] *
1 [Murska Sobota Airport] *
1 [Murska Sobota Gallery] *
1 [Sports in Murska Sobota] *
1 [Varstveno delovni center Murska Sobota] *
1 [western Slovenia] *
1 [Slovenia by media type]
)
= 7.2
Outbound
12
Tags on post
Inbound
12
Posts tagging this
Connections
18
Total nodes
Base Node Strength
144
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Murska Sobota 14.85%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
No other posts link to this one yet.