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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 72 *
( 25 [Collections of Matemateca IME-USP] *
1 [Knots] *
1 [Conway knot] *
1 [Durchkrabbelknoten – Technische Sammlungen Dresden] *
1 [Knot invariants] *
1 [Knot notation and operations] *
1 [Skein relations] *
1 [Knot tables] *
1 [Knot theory; image sets] *
9 [Knots, Collections of Matemateca IME-USP]
)
= 16.2K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.125 *
( 1 [Collections of Matemateca IME-USP] *
1 [Knots] *
1 [Conway knot] *
1 [Durchkrabbelknoten – Technische Sammlungen Dresden] *
1 [Knot invariants] *
1 [Knot notation and operations] *
1 [Skein relations] *
1 [Knot tables] *
1 [Knot theory; image sets] *
1 [Knots, Collections of Matemateca IME-USP]
)
= 1.13
Outbound
9
Tags on post
Inbound
8
Posts tagging this
Connections
10
Total nodes
Base Node Strength
72
Base Node Influence
1.125
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Collections of Matemateca IME-USP 21.93%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Knots and links
BROKEN LINK