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, 22) = 22
$outbound = max(1, 23) = 23
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 22 * 23 = 506
Base_Influence (IV) = $inbound / $outbound = 22 / 23 = 0.9565
// 3. Exponential Network Values (accumulating 35 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 506 *
( 84 [Beijing] *
6 [Taoyuan City] *
6 [Amis Music Festival] *
6 [Phill Niblock] *
12 [Western China] *
12 [ASIA] *
143 [architecture-of-taiwan] *
168 [Taiwan] *
224 [Central Asia] *
342 [United Arab Emirates] *
4 [Fujian Province] *
4 [KaohsiungCity] *
4 [New Taipei City] *
4 [TaichungCity] *
4 [TainanCity] *
4 [TaipeiCity] *
4 [Taiwan Province] *
49 [Beigang] *
4 [Central China] *
1 [East China] *
1 [North China] *
1 [Northeast China] *
1 [South China] *
1 [Photographs of the national flag of the People's Republic of China in Sichuan] *
1 [Beijing Pop Festival] *
1 [Midi Modern Music Festival] *
1 [Modern Sky Festival] *
1 [Cityscapes in Beijing] *
1 [Clothing in Beijing] *
1 [Categories of the People's Republic of China] *
1 [Demonstrations and protests against the People's Republic of China] *
1 [History of the People's Republic of China] *
1 [People of the People's Republic of China] *
1 [Symbols of the People's Republic of China] *
1 [Vietnam]
)
= 7.81 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.9565 *
( 1.71 [Beijing] *
1.5 [Taoyuan City] *
1.5 [Amis Music Festival] *
1.5 [Phill Niblock] *
1.33 [Western China] *
1.33 [ASIA] *
1.18 [architecture-of-taiwan] *
1.17 [Taiwan] *
1.14 [Central Asia] *
1.06 [United Arab Emirates] *
1 [Fujian Province] *
1 [KaohsiungCity] *
1 [New Taipei City] *
1 [TaichungCity] *
1 [TainanCity] *
1 [TaipeiCity] *
1 [Taiwan Province] *
1 [Beigang] *
1 [Central China] *
1 [East China] *
1 [North China] *
1 [Northeast China] *
1 [South China] *
1 [Photographs of the national flag of the People's Republic of China in Sichuan] *
1 [Beijing Pop Festival] *
1 [Midi Modern Music Festival] *
1 [Modern Sky Festival] *
1 [Cityscapes in Beijing] *
1 [Clothing in Beijing] *
1 [Categories of the People's Republic of China] *
1 [Demonstrations and protests against the People's Republic of China] *
1 [History of the People's Republic of China] *
1 [People of the People's Republic of China] *
1 [Symbols of the People's Republic of China] *
1 [Vietnam]
)
= 16.37
Outbound
22
Tags on post
Inbound
23
Posts tagging this
Connections
35
Total nodes
Base Node Strength
506
Base Node Influence
0.9565
Strength Share (vs Direct Neighbours)
31.51%
(7.81 × 1024 overall)
Dominant nodes (excluded from chart)United Arab Emirates 21.30%Central Asia 13.95%Taiwan 10.46%architecture-of-taiwan 8.90%Beijing 5.23%Beigang 3.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
