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, 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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 121 [California Brakemen] *
1 [Tom Hickland] *
1 [Dave O'Brien] *
25 [Rod McAuley] *
4 [Francis Loughlin] *
25 [Kevin Erwin] *
4 [Catherwood Maxie] *
4 [Johnny Burke] *
9 [Crawford Bell] *
1 [Jimmy McCleneghan] *
4 [Mick Connolly]
)
= 174.24M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [California Brakemen] *
1 [Tom Hickland] *
1 [Dave O'Brien] *
1 [Rod McAuley] *
1 [Francis Loughlin] *
1 [Kevin Erwin] *
1 [Catherwood Maxie] *
1 [Johnny Burke] *
1 [Crawford Bell] *
1 [Jimmy McCleneghan] *
1 [Mick Connolly]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
11
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)California Brakemen 60.50%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 26, 1:43 AM
Belfast, County Antrim, United Kingdom
46
Related Content
No related content found.