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, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 9 = 54
Base_Influence (IV) = $inbound / $outbound = 6 / 9 = 0.6667
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 54 *
( 15 [Ileen Getz] *
12 [Mina Bern] *
56 [Celia Weston] *
1 [An alphabet of celebrities] *
1 [Arlene Dickinson] *
1 [Black and white photographs of celebrities] *
1 [Celebrities at airports] *
1 [Konstantin Krokhmal] *
1 [Nour Al Hassan]
)
= 544.3K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.6667 *
( 1.67 [Ileen Getz] *
1.33 [Mina Bern] *
1.14 [Celia Weston] *
1 [An alphabet of celebrities] *
1 [Arlene Dickinson] *
1 [Black and white photographs of celebrities] *
1 [Celebrities at airports] *
1 [Konstantin Krokhmal] *
1 [Nour Al Hassan]
)
= 1.69
Outbound
6
Tags on post
Inbound
9
Posts tagging this
Connections
9
Total nodes
Base Node Strength
54
Base Node Influence
0.6667
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Celia Weston 39.16%Ileen Getz 10.49%Mina Bern 8.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)