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, 6) = 6
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 4 = 24
Base_Influence (IV) = $inbound / $outbound = 6 / 4 = 1.5
// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 24 *
( 1 [Budai Nagy Antal utca] *
1 [Gergely Győző utca] *
16 [Lehel tér] *
1 [Visegrádi utca] *
1 [Gogol utca-Búcsú utca-Váci út underpass] *
1 [Stairs at Lehel tér metro station] *
1 [Underpass at Lehel tér]
)
= 384
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1 [Budai Nagy Antal utca] *
1 [Gergely Győző utca] *
1 [Lehel tér] *
1 [Visegrádi utca] *
1 [Gogol utca-Búcsú utca-Váci út underpass] *
1 [Stairs at Lehel tér metro station] *
1 [Underpass at Lehel tér]
)
= 1.5
Outbound
6
Tags on post
Inbound
4
Posts tagging this
Connections
7
Total nodes
Base Node Strength
24
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lehel tér 34.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Ruttkai Éva park
BROKEN LINKSzent István körút
BROKEN LINK