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, 8) = 8
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 7 = 56
Base_Influence (IV) = $inbound / $outbound = 8 / 7 = 1.1429
// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 56 *
( 1 [Dirk van Hasseltssteeg 1, Amsterdam] *
1 [Dirk van Hasseltssteeg 28, Amsterdam] *
1 [Dirk van Hasseltssteeg 3, Amsterdam] *
1 [Dirk van Hasseltssteeg 48, Amsterdam] *
1 [Dirk van Hasseltssteeg 49, Amsterdam] *
1 [Dirk van Hasseltssteeg 51, Amsterdam] *
1 [Dirk van Hasseltssteeg 53, Amsterdam]
)
= 56
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1429 *
( 1 [Dirk van Hasseltssteeg 1, Amsterdam] *
1 [Dirk van Hasseltssteeg 28, Amsterdam] *
1 [Dirk van Hasseltssteeg 3, Amsterdam] *
1 [Dirk van Hasseltssteeg 48, Amsterdam] *
1 [Dirk van Hasseltssteeg 49, Amsterdam] *
1 [Dirk van Hasseltssteeg 51, Amsterdam] *
1 [Dirk van Hasseltssteeg 53, Amsterdam]
)
= 1.14
Outbound
8
Tags on post
Inbound
7
Posts tagging this
Connections
7
Total nodes
Base Node Strength
56
Base Node Influence
1.1429
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Dirk van Hasseltssteeg, Amsterdam
BROKEN LINK