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, 6) = 6
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 5 = 30
Base_Influence (IV) = $inbound / $outbound = 6 / 5 = 1.2
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 30 *
( 169 [Sigiswald Kuijken] *
9 [University of Leuven] *
1 [Katholieke Universiteit Leuven, afdeling Kortrijk] *
4 [2Bergen Campus Arenberg] *
1 [Digitised collections of KU Leuven Libraries] *
1 [Institution:KU Leuven Libraries] *
4 [Universiteitsbibliotheek, Leuven] *
1 [Celestine convent of Heverlee] *
1 [Universiteitsbibliotheek] *
1 [Illuminated Naples Bible]
)
= 730.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2 *
( 1 [Sigiswald Kuijken] *
1 [University of Leuven] *
1 [Katholieke Universiteit Leuven, afdeling Kortrijk] *
1 [2Bergen Campus Arenberg] *
1 [Digitised collections of KU Leuven Libraries] *
1 [Institution:KU Leuven Libraries] *
1 [Universiteitsbibliotheek, Leuven] *
1 [Celestine convent of Heverlee] *
1 [Universiteitsbibliotheek] *
1 [Illuminated Naples Bible]
)
= 1.2
Outbound
6
Tags on post
Inbound
5
Posts tagging this
Connections
10
Total nodes
Base Node Strength
30
Base Node Influence
1.2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Sigiswald Kuijken 76.13%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Maurits Sabbe Library
BROKEN LINK