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, 12) = 12
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 8 = 96
Base_Influence (IV) = $inbound / $outbound = 12 / 8 = 1.5
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 96 *
( 12 [Bourgogne] *
80 [Yonne] *
72 [Burgundy] *
1 [philip the good] *
4 [Odo IV] *
9 [Philip II] *
4 [Odo II] *
1 [Environment in Nièvre] *
1 [Photographs of Nièvre] *
1 [Public services in Nièvre] *
1 [Science and technology in Nièvre] *
1 [Society of Nièvre] *
1 [Sports in Nièvre] *
1 [Symbols of Nièvre] *
2 [Objects in Bourgogne]
)
= 1.91B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.33 [Bourgogne] *
1.25 [Yonne] *
1.13 [Burgundy] *
1 [philip the good] *
1 [Odo IV] *
1 [Philip II] *
1 [Odo II] *
1 [Environment in Nièvre] *
1 [Photographs of Nièvre] *
1 [Public services in Nièvre] *
1 [Science and technology in Nièvre] *
1 [Society of Nièvre] *
1 [Sports in Nièvre] *
1 [Symbols of Nièvre] *
0.5 [Objects in Bourgogne]
)
= 1.41
Outbound
12
Tags on post
Inbound
8
Posts tagging this
Connections
15
Total nodes
Base Node Strength
96
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Yonne 27.87%Burgundy 25.09%Bourgogne 4.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Architecture of Nièvre
BROKEN LINKObjects in Nièvre
BROKEN LINKVisitor attractions in Nièvre
BROKEN LINK
