Analyzing Network Connections...
Loading Map...
Nearest Locations
📍
📍
📍
Network Profile
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 1 [Andrew Fidler] *
4 [Corey Barhorst] *
4 [James May] *
121 [Kylesa] *
1 [James May's Toy Stories]
)
= 17.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Andrew Fidler] *
1 [Corey Barhorst] *
1 [James May] *
1 [Kylesa] *
1 [James May's Toy Stories]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
5
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kylesa 86.43%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 30, 9:16 AM
Area D (Elaho/Garibaldi), Squamish-Lillooet Regional District, Canada
22
Related Content
No related content found.