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, 8) = 8
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 7 = 56
Base_Influence (IV) = $inbound / $outbound = 8 / 7 = 1.1429
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 56 *
( 16 [Pavel Skála] *
1 [Jakub] *
1 [Dneska prisel nový kluk] *
1 [Do zubu a do srdícka] *
1 [Eduard Skála] *
1 [Jaromír Skála] *
1 [Jaroslav Skála] *
1 [Josef Skála] *
1 [Petr Skála] *
1 [Romuald Skála] *
1 [Viktor Skála]
)
= 896
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1429 *
( 1 [Pavel Skála] *
1 [Jakub] *
1 [Dneska prisel nový kluk] *
1 [Do zubu a do srdícka] *
1 [Eduard Skála] *
1 [Jaromír Skála] *
1 [Jaroslav Skála] *
1 [Josef Skála] *
1 [Petr Skála] *
1 [Romuald Skála] *
1 [Viktor Skála]
)
= 1.14
Outbound
8
Tags on post
Inbound
7
Posts tagging this
Connections
11
Total nodes
Base Node Strength
56
Base Node Influence
1.1429
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Pavel Skála 19.51%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)