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, 5) = 5
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 1 = 5
Base_Influence (IV) = $inbound / $outbound = 5 / 1 = 5
// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 5 *
( 30 [Akácfa utca] *
1 [Simon Bolivar sétány] *
1 [Plútó utca] *
1 [Szabadság utca]
)
= 150
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 5 *
( 1.2 [Akácfa utca] *
1 [Simon Bolivar sétány] *
1 [Plútó utca] *
1 [Szabadság utca]
)
= 6
Outbound
5
Tags on post
Inbound
1
Posts tagging this
Connections
4
Total nodes
Base Node Strength
5
Base Node Influence
5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Akácfa utca 78.95%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Akácfa utca, Csepel
BROKEN LINKSimon Bolivar sétány, Csepel
BROKEN LINKSzabadság utca, Csepel
BROKEN LINKVénusz utca, Csepel
BROKEN LINK