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, 12) = 12
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 10 = 120
Base_Influence (IV) = $inbound / $outbound = 12 / 10 = 1.2
// 3. Exponential Network Values (accumulating 42 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 120 *
( 12 [HIMALAYA] *
24 [Siberia] *
165 [East Asia] *
224 [Central Asia] *
72 [Тоҷикистон] *
4 [Eurasian Steppe] *
4 [Holarctic] *
1 [Inner Asia] *
9 [Macaronesia] *
16 [North Asia] *
1 [Palearctic ecoregions] *
1 [Temperate coniferous forests] *
1 [Temperate rainforests] *
1 [Kyrgyz History Society] *
1 [Animals of Central Asia] *
1 [Central Asian diaspora] *
1 [Chums] *
1 [Ethnic groups in Central Asia] *
1 [Flora of Middle Asia] *
16 [Graphics from the UNESCO Science Report, towards 2030, Chapter 14, Central Asia] *
25 [Kivkara] *
1 [Madrasas in Central Asia] *
9 [Paul Pelliot] *
1 [Tea pots from Central Asia] *
1 [Yurts] *
1 [Animals of East Asia] *
1 [Asia Temperate] *
1 [Áo giao lĩnh] *
1 [Countries of East Asia] *
1 [East Asian culture] *
1 [Ethnic groups in East Asia] *
1 [Flora of Eastern Asia] *
1 [Genetic studies on East Asian populations] *
4 [korea] *
1 [Zelenyi Klyn] *
1 [Musical instruments of North Asia] *
4 [Western Siberia] *
1 [Cumania] *
1 [Charles Oberthür's holarctic Lepidoptera collections] *
1 [BANGEN Macaronesia] *
1 [Selvagens Ilhas Afortunadas] *
3 [Himalayas]
)
= 3.66 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2 *
( 3 [HIMALAYA] *
1.5 [Siberia] *
1.36 [East Asia] *
1.14 [Central Asia] *
1.13 [Тоҷикистон] *
1 [Eurasian Steppe] *
1 [Holarctic] *
1 [Inner Asia] *
1 [Macaronesia] *
1 [North Asia] *
1 [Palearctic ecoregions] *
1 [Temperate coniferous forests] *
1 [Temperate rainforests] *
1 [Kyrgyz History Society] *
1 [Animals of Central Asia] *
1 [Central Asian diaspora] *
1 [Chums] *
1 [Ethnic groups in Central Asia] *
1 [Flora of Middle Asia] *
1 [Graphics from the UNESCO Science Report, towards 2030, Chapter 14, Central Asia] *
1 [Kivkara] *
1 [Madrasas in Central Asia] *
1 [Paul Pelliot] *
1 [Tea pots from Central Asia] *
1 [Yurts] *
1 [Animals of East Asia] *
1 [Asia Temperate] *
1 [Áo giao lĩnh] *
1 [Countries of East Asia] *
1 [East Asian culture] *
1 [Ethnic groups in East Asia] *
1 [Flora of Eastern Asia] *
1 [Genetic studies on East Asian populations] *
1 [korea] *
1 [Zelenyi Klyn] *
1 [Musical instruments of North Asia] *
1 [Western Siberia] *
1 [Cumania] *
1 [Charles Oberthür's holarctic Lepidoptera collections] *
1 [BANGEN Macaronesia] *
1 [Selvagens Ilhas Afortunadas] *
0.3333 [Himalayas]
)
= 3.16
Outbound
12
Tags on post
Inbound
10
Posts tagging this
Connections
42
Total nodes
Base Node Strength
120
Base Node Influence
1.2
Strength Share (vs Direct Neighbours)
16.26%
(3.66 × 1019 overall)
Dominant nodes (excluded from chart)Central Asia 30.35%East Asia 22.36%Тоҷикистон 9.76%Kivkara 3.39%Siberia 3.25%North Asia 2.17%Graphics from the UNESCO Science Report, towards 2030, Chapter 14, Central Asia 2.17%HIMALAYA 1.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Temperate broadleaf and mixed forests
BROKEN LINK