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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 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 [Site of Banan Military Conference]
)
= 180.63M
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 [Site of Banan Military Conference]
)
= 2.04
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
9
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Chinese Soviet Republic 40.23%中華蘇維埃共和國 40.23%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
No other posts link to this one yet.
