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, 2) = 2
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 12 [GA] *
1 [Estuaire] *
1 [Haut-Ogooué] *
1 [Moyen-Ogooué] *
1 [Ngounié] *
1 [Nyanga] *
1 [Ogooué-Ivindo] *
1 [Ogooué-Lolo] *
1 [Ogooué-Maritime] *
1 [Woleu-Ntem] *
4 [Bananas in Gabon] *
1 [Concepts of Gabon] *
1 [Gabon by media type] *
1 [Society of Gabon] *
1 [Wikimedia movement in Gabon] *
4 [Wikivoyage banners of Gabon] *
1 [Upper Ogowe] *
272 [Gabon]
)
= 104.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1.33 [GA] *
1 [Estuaire] *
1 [Haut-Ogooué] *
1 [Moyen-Ogooué] *
1 [Ngounié] *
1 [Nyanga] *
1 [Ogooué-Ivindo] *
1 [Ogooué-Lolo] *
1 [Ogooué-Maritime] *
1 [Woleu-Ntem] *
1 [Bananas in Gabon] *
1 [Concepts of Gabon] *
1 [Gabon by media type] *
1 [Society of Gabon] *
1 [Wikimedia movement in Gabon] *
1 [Wikivoyage banners of Gabon] *
1 [Upper Ogowe] *
0.9412 [Gabon]
)
= 2.51
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Gabon 88.31%GA 3.90%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)