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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 2 [Information graphics of Perm Krai] *
2 [Photographs of flags of Russia in Perm Krai] *
1 [Administrative divisions of Perm] *
1 [Advertisements in Perm] *
1 [Пермь] *
1 [Industry of Perm] *
1 [Information graphics of Perm] *
1 [Minerals of Perm] *
1 [Permskaya streets] *
1 [Postmarks of Perm] *
1 [districts] *
9 [Krai] *
99 [Perm]
)
= 21.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 2 [Information graphics of Perm Krai] *
2 [Photographs of flags of Russia in Perm Krai] *
1 [Administrative divisions of Perm] *
1 [Advertisements in Perm] *
1 [Пермь] *
1 [Industry of Perm] *
1 [Information graphics of Perm] *
1 [Minerals of Perm] *
1 [Permskaya streets] *
1 [Postmarks of Perm] *
1 [districts] *
1 [Krai] *
0.8182 [Perm]
)
= 4.91
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
13
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Perm 77.95%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)