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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 1 [Brad Davidson] *
1 [Greg Sage] *
1 [Steve Plouf] *
1 [Brad Naish] *
1 [Dave Koupal] *
49 [Travis Aaron McNabb] *
25 [Better Than Ezra] *
25 [Sugarland] *
1 [Vigilantes of Love] *
4 [Beggars (2)] *
1 [Seven Simons] *
4 [Sugarland (2)]
)
= 17.64M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Brad Davidson] *
1 [Greg Sage] *
1 [Steve Plouf] *
1 [Brad Naish] *
1 [Dave Koupal] *
1 [Travis Aaron McNabb] *
1 [Better Than Ezra] *
1 [Sugarland] *
1 [Vigilantes of Love] *
1 [Beggars (2)] *
1 [Seven Simons] *
1 [Sugarland (2)]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
12
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Travis Aaron McNabb 32.67%Better Than Ezra 16.67%Sugarland 16.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 15, 1:34 PM
County Tyrone, United Kingdom
39
Related Content
No related content found.