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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 42 [Scream (band)] *
576 [Dave Grohl] *
4 [Franz Stahl] *
1 [Clint Walsh] *
1 [Kent Stax] *
1 [Skeeter Thompson] *
49 [Dave Catching] *
81 [Gene Trautmann] *
36 [Pete Stahl] *
4 [Fred Drake] *
25 [Adam Maples] *
100 [Earthlings?] *
49 [David Catching] *
25 [Molly McGuire] *
1 [Edmund Monsef] *
1 [Mathias Schneeberger] *
25 [Alfredo Hernández] *
196 [Mario Lalli] *
49 [Orquesta Del Desierto] *
4 [Dandy Brown] *
1 [Mark Engel (2)] *
1 [Mike Riley (2)]
)
= 1.46 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Scream (band)] *
1 [Dave Grohl] *
1 [Franz Stahl] *
1 [Clint Walsh] *
1 [Kent Stax] *
1 [Skeeter Thompson] *
1 [Dave Catching] *
1 [Gene Trautmann] *
1 [Pete Stahl] *
1 [Fred Drake] *
1 [Adam Maples] *
1 [Earthlings?] *
1 [David Catching] *
1 [Molly McGuire] *
1 [Edmund Monsef] *
1 [Mathias Schneeberger] *
1 [Alfredo Hernández] *
1 [Mario Lalli] *
1 [Orquesta Del Desierto] *
1 [Dandy Brown] *
1 [Mark Engel (2)] *
1 [Mike Riley (2)]
)
= 1.17
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
22
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.70%
(1.46 × 1024 overall)
Dominant nodes (excluded from chart)Dave Grohl 44.96%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 17, 9:06 PM
King County, United States
28
Related Content
No related content found.