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, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 15 [leipzig] *
484 [Ludwig van Beethoven] *
4 [christian gottlob neefe] *
36 [J. Louis von der Mehden] *
1 [Chicago School of Law] *
1 [Herald Square Theatre] *
1 [Oskaloosa College] *
1 [University of Connecticut] *
25 [Yale University] *
4 [Günter Raphael] *
4 [Hochschule für Musik und Theater „Felix Mendelssohn Bartholdy“ Leipzig] *
64 [Zeit] *
1 [Gallery pages of Leipzig]
)
= 669.08B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.67 [leipzig] *
1 [Ludwig van Beethoven] *
1 [christian gottlob neefe] *
1 [J. Louis von der Mehden] *
1 [Chicago School of Law] *
1 [Herald Square Theatre] *
1 [Oskaloosa College] *
1 [University of Connecticut] *
1 [Yale University] *
1 [Günter Raphael] *
1 [Hochschule für Musik und Theater „Felix Mendelssohn Bartholdy“ Leipzig] *
1 [Zeit] *
1 [Gallery pages of Leipzig]
)
= 1.67
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
13
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Ludwig van Beethoven 72.67%Zeit 9.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)