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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 156 [Marine Parade] *
49 [Alex Metric] *
1 [Katong Park MRT Station] *
1 [Marine Parade Community Building] *
1 [Marine Parade MRT Station] *
1 [Marine Terrace MRT Station] *
1 [Parkway Centre] *
1 [Parkway Parade] *
1 [Tao Nan School] *
1 [Victoria Junior College] *
1 [Marine Crescent, Singapore] *
60 [Singapore]
)
= 458.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.08 [Marine Parade] *
1 [Alex Metric] *
1 [Katong Park MRT Station] *
1 [Marine Parade Community Building] *
1 [Marine Parade MRT Station] *
1 [Marine Terrace MRT Station] *
1 [Parkway Centre] *
1 [Parkway Parade] *
1 [Tao Nan School] *
1 [Victoria Junior College] *
1 [Marine Crescent, Singapore] *
0.6 [Singapore]
)
= 0.65
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
12
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Marine Parade 56.73%Singapore 21.82%Alex Metric 17.82%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)