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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 2 [Le Chaland, Mauritius] *
2 [Le Chaland] *
20 [Plaines Wilhems] *
56 [Pamplemousses] *
9 [Flacq] *
1 [Grand Port] *
4 [Moka] *
1 [Port Louis] *
1 [Rivière du Rempart] *
1 [Rivière Noire] *
4 [Savanne] *
1 [Les Frères Joseph] *
1 [Maurice / Mauritius] *
1 [Mauritius by media type] *
1 [Panoramic photographs of Mauritius] *
1 [Society of Mauritius] *
1 [Wikimedia movement in Mauritius] *
1 [WikiProject Mauritius] *
1 [Wikivoyage banners of Mauritius] *
360 [Mauritius]
)
= 232.24M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Le Chaland, Mauritius] *
2 [Le Chaland] *
1.25 [Plaines Wilhems] *
1.14 [Pamplemousses] *
1 [Flacq] *
1 [Grand Port] *
1 [Moka] *
1 [Port Louis] *
1 [Rivière du Rempart] *
1 [Rivière Noire] *
1 [Savanne] *
1 [Les Frères Joseph] *
1 [Maurice / Mauritius] *
1 [Mauritius by media type] *
1 [Panoramic photographs of Mauritius] *
1 [Society of Mauritius] *
1 [Wikimedia movement in Mauritius] *
1 [WikiProject Mauritius] *
1 [Wikivoyage banners of Mauritius] *
0.9 [Mauritius]
)
= 5.14
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Mauritius 76.60%Pamplemousses 11.91%Plaines Wilhems 4.26%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)