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, 14) = 14
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 14 * 10 = 140
Base_Influence (IV) = $inbound / $outbound = 14 / 10 = 1.4
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 140 *
( 1 [Photographs of Rzeszów] *
1 [Aerial photographs of Rzeszów] *
1 [Military unit in Rzeszów] *
1 [Rajd Rzeszowski] *
1 [Sports in Rzeszów] *
1 [Structures in Rzeszów] *
1 [Subcarpathian Regional Assembly] *
1 [Subcarpathian Regional Assembly in Rzeszów] *
1 [Symbols of Rzeszów] *
9 [TVP3 Rzeszów] *
1 [Beata Wolańska] *
1 [TVP Building in Rzeszów]
)
= 1.3K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.4 *
( 1 [Photographs of Rzeszów] *
1 [Aerial photographs of Rzeszów] *
1 [Military unit in Rzeszów] *
1 [Rajd Rzeszowski] *
1 [Sports in Rzeszów] *
1 [Structures in Rzeszów] *
1 [Subcarpathian Regional Assembly] *
1 [Subcarpathian Regional Assembly in Rzeszów] *
1 [Symbols of Rzeszów] *
1 [TVP3 Rzeszów] *
1 [Beata Wolańska] *
1 [TVP Building in Rzeszów]
)
= 1.4
Outbound
14
Tags on post
Inbound
10
Posts tagging this
Connections
12
Total nodes
Base Node Strength
140
Base Node Influence
1.4
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Architecture of Rzeszów
BROKEN LINKCultural heritage monuments in Rzeszów
BROKEN LINKStreets in Rzeszów
BROKEN LINKUrban squares in Rzeszów
BROKEN LINK