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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 24 *
( 15 [Ehrenfriedhof Elberfeld] *
1 [Einweihung Marine-Ehrenmal Laboe 1936] *
1 [Interior of Marineehrenmal Laboe] *
1 [Marineehrenmal Laboe - remote views] *
1 [Views from Marineehrenmal Laboe] *
4 [Austrian war memorial at Sankelmark] *
4 [Danish war memorial at Sankelmark] *
4 [Friedhof Kriegsgefangenenlager Müncheberg] *
4 [Soviet World War II memorials in Germany] *
35 [ehrenmale-der-bundeswehr] *
35 [military-monuments-and-memorials]
)
= 112.9M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.67 [Ehrenfriedhof Elberfeld] *
1 [Einweihung Marine-Ehrenmal Laboe 1936] *
1 [Interior of Marineehrenmal Laboe] *
1 [Marineehrenmal Laboe - remote views] *
1 [Views from Marineehrenmal Laboe] *
1 [Austrian war memorial at Sankelmark] *
1 [Danish war memorial at Sankelmark] *
1 [Friedhof Kriegsgefangenenlager Müncheberg] *
1 [Soviet World War II memorials in Germany] *
0.7143 [ehrenmale-der-bundeswehr] *
0.7143 [military-monuments-and-memorials]
)
= 1.28
Outbound
6
Tags on post
Inbound
4
Posts tagging this
Connections
11
Total nodes
Base Node Strength
24
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)