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, 9) = 9
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 8 = 72
Base_Influence (IV) = $inbound / $outbound = 9 / 8 = 1.125
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 72 *
( 84 [Nièvre] *
6 [Philip II] *
12 [Bourgogne] *
80 [Yonne] *
1 [philip the good] *
4 [Odo IV] *
4 [Odo II] *
1 [Environment in Nièvre] *
1 [Public services in Nièvre] *
1 [Science and technology in Nièvre] *
1 [Society of Nièvre] *
1 [Sports in Nièvre] *
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] *
25 [Odo] *
64 [Metropolitan of Moscow] *
2 [Objects in Bourgogne]
)
= 1.78T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.125 *
( 1.71 [Nièvre] *
1.5 [Philip II] *
1.33 [Bourgogne] *
1.25 [Yonne] *
1 [philip the good] *
1 [Odo IV] *
1 [Odo II] *
1 [Environment in Nièvre] *
1 [Public services in Nièvre] *
1 [Science and technology in Nièvre] *
1 [Society of Nièvre] *
1 [Sports in Nièvre] *
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] *
1 [Odo] *
1 [Metropolitan of Moscow] *
0.5 [Objects in Bourgogne]
)
= 2.41
Outbound
9
Tags on post
Inbound
8
Posts tagging this
Connections
21
Total nodes
Base Node Strength
72
Base Node Influence
1.125
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Nièvre 23.01%Yonne 21.92%Metropolitan of Moscow 17.53%Odo 6.85%Bourgogne 3.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Robert II, Duke of Burgundy
BROKEN LINK