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, 15) = 15
$outbound = max(1, 14) = 14
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 15 * 14 = 210
Base_Influence (IV) = $inbound / $outbound = 15 / 14 = 1.0714
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 210 *
( 20 [Trento] *
4 [Trent Thomason] *
36 [Thomason] *
1 [Architecture in Trento] *
4 [Cave di Pila] *
4 [Coats of arms of Trent] *
4 [Do the right Thing - Trento 2007] *
1 [Flags of Trento] *
4 [Passo Cimirlo] *
1 [Photographs by Sigurd Curman - Trento] *
1 [Quarters of Trento] *
1 [Sports in Trento] *
1 [Streets in Trento] *
1 [Villages in Trento] *
1 [Forte Roncogno] *
2 [Graffiti in Trento]
)
= 309.66M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.0714 *
( 1.25 [Trento] *
1 [Trent Thomason] *
1 [Thomason] *
1 [Architecture in Trento] *
1 [Cave di Pila] *
1 [Coats of arms of Trent] *
1 [Do the right Thing - Trento 2007] *
1 [Flags of Trento] *
1 [Passo Cimirlo] *
1 [Photographs by Sigurd Curman - Trento] *
1 [Quarters of Trento] *
1 [Sports in Trento] *
1 [Streets in Trento] *
1 [Villages in Trento] *
1 [Forte Roncogno] *
0.5 [Graffiti in Trento]
)
= 0.6696
Outbound
15
Tags on post
Inbound
14
Posts tagging this
Connections
16
Total nodes
Base Node Strength
210
Base Node Influence
1.0714
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Thomason 12.16%Trento 6.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Urban squares in Trento
BROKEN LINK