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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 6 [Taoyuan City] *
6 [Amis Music Festival] *
143 [architecture-of-taiwan] *
168 [Taiwan] *
4 [Fujian Province] *
4 [KaohsiungCity] *
4 [New Taipei City] *
4 [TaichungCity] *
4 [TainanCity] *
4 [TaipeiCity] *
4 [Taiwan Province] *
1 [Beigang International Music Festival] *
4 [Beigang Fuxing Bridge] *
1 [Beigang Presbyterian Church] *
1 [Beigang Tourist Bridge] *
1 [Beigang Wude Temple] *
1 [China Medical University Beigang Hospital] *
1 [Beigang Fuxing Bridge after the 2008 flood] *
506 [China]
)
= 1.41 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Taoyuan City] *
1.5 [Amis Music Festival] *
1.18 [architecture-of-taiwan] *
1.17 [Taiwan] *
1 [Fujian Province] *
1 [KaohsiungCity] *
1 [New Taipei City] *
1 [TaichungCity] *
1 [TainanCity] *
1 [TaipeiCity] *
1 [Taiwan Province] *
1 [Beigang International Music Festival] *
1 [Beigang Fuxing Bridge] *
1 [Beigang Presbyterian Church] *
1 [Beigang Tourist Bridge] *
1 [Beigang Wude Temple] *
1 [China Medical University Beigang Hospital] *
1 [Beigang Fuxing Bridge after the 2008 flood] *
0.9565 [China]
)
= 2.97
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
19
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
5.35%
(1.41 × 1015 overall)
Dominant nodes (excluded from chart)China 55.24%Taiwan 18.34%architecture-of-taiwan 15.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)