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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 400 [John Coast] *
36 [Ford Foundation] *
49 [Hamengkubuwono X] *
64 [Suharto] *
121 [Sukarno] *
64 [Dutch East India Company 1602] *
36 [30 September Movement] *
1 [Adam Malik] *
4 [John F. Kennedy] *
4 [Robert f. Kennedy] *
1 [Sheikh Abdurrahman] *
30 [USAID]
)
= 2.42 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [John Coast] *
1 [Ford Foundation] *
1 [Hamengkubuwono X] *
1 [Suharto] *
1 [Sukarno] *
1 [Dutch East India Company 1602] *
1 [30 September Movement] *
1 [Adam Malik] *
1 [John F. Kennedy] *
1 [Robert f. Kennedy] *
1 [Sheikh Abdurrahman] *
0.8333 [USAID]
)
= 0.8333
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.49%
(2.42 × 1016 overall)
Dominant nodes (excluded from chart)John Coast 49.14%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
