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, 10) = 10
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 8 = 80
Base_Influence (IV) = $inbound / $outbound = 10 / 8 = 1.25
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 80 *
( 96 [Nièvre] *
12 [Bourgogne] *
72 [Burgundy] *
1 [philip the good] *
4 [Odo IV] *
9 [Philip II] *
4 [Odo II] *
1 [Demography of Yonne] *
1 [Environment in Yonne] *
1 [Science and technology in Yonne] *
1 [Society of Yonne] *
1 [Symbols of Yonne] *
1 [Visitor attractions in Yonne] *
2 [Objects in Bourgogne]
)
= 1.91B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.25 *
( 1.5 [Nièvre] *
1.33 [Bourgogne] *
1.13 [Burgundy] *
1 [philip the good] *
1 [Odo IV] *
1 [Philip II] *
1 [Odo II] *
1 [Demography of Yonne] *
1 [Environment in Yonne] *
1 [Science and technology in Yonne] *
1 [Society of Yonne] *
1 [Symbols of Yonne] *
1 [Visitor attractions in Yonne] *
0.5 [Objects in Bourgogne]
)
= 1.41
Outbound
10
Tags on post
Inbound
8
Posts tagging this
Connections
14
Total nodes
Base Node Strength
80
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Nièvre 33.57%Burgundy 25.17%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Objects in Yonne
BROKEN LINKPhotographs of Yonne
BROKEN LINK