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, 16) = 16
$outbound = max(1, 14) = 14
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 16 * 14 = 224
Base_Influence (IV) = $inbound / $outbound = 16 / 14 = 1.1429
// 3. Exponential Network Values (accumulating 45 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 224 *
( 6 [Western China] *
180 [East Asia] *
72 [Тоҷикистон] *
110 [Tajikistan] *
132 [Palearctic] *
4 [Gallery pages of Tajikistan] *
4 [PD-TJ-exempt] *
4 [Society of Tajikistan] *
4 [Tajikistan by media type] *
4 [Wikivoyage banners of Tajikistan] *
1 [Ikhshids] *
9 [Himalayas] *
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 [Graphics from the UNESCO Science Report] *
1 [towards 2030] *
1 [雜寳藏經] *
1 [方便心論] *
1 [付法藏因緣傳] *
1 [佛説稱揚諸佛功德經] *
1 [Charles Nouette] *
1 [Pelliot's expedition] *
1 [Albert von Le Coq] *
1 [Elliot Sperling] *
1 [Richard Nelson Frye] *
306 [China] *
2 [Chapter 14]
)
= 1.18 x 10^25
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1429 *
( 1.5 [Western China] *
1.25 [East Asia] *
1.13 [Тоҷикистон] *
1.1 [Tajikistan] *
1.09 [Palearctic] *
1 [Gallery pages of Tajikistan] *
1 [PD-TJ-exempt] *
1 [Society of Tajikistan] *
1 [Tajikistan by media type] *
1 [Wikivoyage banners of Tajikistan] *
1 [Ikhshids] *
1 [Himalayas] *
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 [Graphics from the UNESCO Science Report] *
1 [towards 2030] *
1 [雜寳藏經] *
1 [方便心論] *
1 [付法藏因緣傳] *
1 [佛説稱揚諸佛功德經] *
1 [Charles Nouette] *
1 [Pelliot's expedition] *
1 [Albert von Le Coq] *
1 [Elliot Sperling] *
1 [Richard Nelson Frye] *
0.9444 [China] *
0.5 [Chapter 14]
)
= 1.37
Outbound
16
Tags on post
Inbound
14
Posts tagging this
Connections
45
Total nodes
Base Node Strength
224
Base Node Influence
1.1429
Strength Share (vs Direct Neighbours)
19.16%
(1.18 × 1025 overall)
Dominant nodes (excluded from chart)China 26.18%East Asia 15.40%Palearctic 11.29%Tajikistan 9.41%Тоҷикистон 6.16%Kivkara 2.14%North Asia 1.37%Graphics from the UNESCO Science Report, towards 2030, Chapter 14, Central Asia 1.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Central Asian studies
BROKEN LINK