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, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 10 = 90
Base_Influence (IV) = $inbound / $outbound = 9 / 10 = 0.9
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 12 [Richard Guedj] *
1 [Andy Charters] *
1 [Keith Knowles] *
1 [Neil Buchanan] *
1 [Steve Dinwoodie] *
1 [Marseille by media type] *
1 [Objects in Marseille] *
1 [Society of Marseille] *
1 [Wikimedia servers in Marseille] *
1 [Gallery pages of Marseille]
)
= 1.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.9 *
( 1.33 [Richard Guedj] *
1 [Andy Charters] *
1 [Keith Knowles] *
1 [Neil Buchanan] *
1 [Steve Dinwoodie] *
1 [Marseille by media type] *
1 [Objects in Marseille] *
1 [Society of Marseille] *
1 [Wikimedia servers in Marseille] *
1 [Gallery pages of Marseille]
)
= 1.2
Outbound
9
Tags on post
Inbound
10
Posts tagging this
Connections
10
Total nodes
Base Node Strength
90
Base Node Influence
0.9
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Richard Guedj 10.81%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)