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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 70 [Chinese Soviet Republic] *
70 [中華蘇維埃共和國] *
4 [Flags of the Chinese Soviet Republic] *
4 [Banknotes of Chinese Soviet Republic] *
9 [Hunan–Hubei–Jiangxi Soviet] *
4 [Northeast Jiangxi Soviet] *
4 [The Old Site of Yuyang Guan Soviet Government] *
4 [Chinese Workers' and Peasants' Red Army] *
1 [Ma Lifeng] *
1 [Ye Fei]
)
= 406.43M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.43 [Chinese Soviet Republic] *
1.43 [中華蘇維埃共和國] *
1 [Flags of the Chinese Soviet Republic] *
1 [Banknotes of Chinese Soviet Republic] *
1 [Hunan–Hubei–Jiangxi Soviet] *
1 [Northeast Jiangxi Soviet] *
1 [The Old Site of Yuyang Guan Soviet Government] *
1 [Chinese Workers' and Peasants' Red Army] *
1 [Ma Lifeng] *
1 [Ye Fei]
)
= 2.04
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
10
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Chinese Soviet Republic 38.89%中華蘇維埃共和國 38.89%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
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