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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 1 [RGM 466] *
4 [Bibliothèque Municipale de Reims, De ecclesiasticis disciplinis] *
4 [De ecclesiasticis disciplinis] *
4 [Bibliothèque Municipale de Reims, RGM 466] *
9 [Bibliothèque Municipale de Reims, Rès. G 152] *
9 [Bibliothèque Municipale de Reims, Rès. G 153] *
9 [Topographia Galliae] *
1 [Rès. G 152] *
1 [Rès. G 153]
)
= 1.17M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [RGM 466] *
1 [Bibliothèque Municipale de Reims, De ecclesiasticis disciplinis] *
1 [De ecclesiasticis disciplinis] *
1 [Bibliothèque Municipale de Reims, RGM 466] *
1 [Bibliothèque Municipale de Reims, Rès. G 152] *
1 [Bibliothèque Municipale de Reims, Rès. G 153] *
1 [Topographia Galliae] *
1 [Rès. G 152] *
1 [Rès. G 153]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
9
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)