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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 88 [Rayong] *
1 [Camillian Social Center in Rayong] *
1 [Countryside of Rayong Province] *
1 [Districts of Rayong Province] *
1 [Prasae Reservoir] *
1 [Sunsets of Rayong] *
1 [U-Tapao International Airport] *
1 [United States Navy images from Rayong Province] *
36 [Sukhumvit Road] *
1 [Asok Intersection] *
1 [Emsphere] *
1 [Nana Plaza] *
1 [Aerial photographs of Sukhumvit Road, Bangkok] *
1 [Nana Hotel, Bangkok]
)
= 12.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.38 [Rayong] *
1 [Camillian Social Center in Rayong] *
1 [Countryside of Rayong Province] *
1 [Districts of Rayong Province] *
1 [Prasae Reservoir] *
1 [Sunsets of Rayong] *
1 [U-Tapao International Airport] *
1 [United States Navy images from Rayong Province] *
1 [Sukhumvit Road] *
1 [Asok Intersection] *
1 [Emsphere] *
1 [Nana Plaza] *
1 [Aerial photographs of Sukhumvit Road, Bangkok] *
1 [Nana Hotel, Bangkok]
)
= 1.38
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
14
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Rayong 62.86%Sukhumvit Road 25.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)