Analyzing Network Connections...
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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 289 [Atom Willard] *
81 [Rocket from the Crypt] *
196 [Mario Rubalcaba] *
1 [Andy Stamets] *
1 [Elaina Torres] *
4 [Jason Crane] *
1 [Paul O'Beirne] *
1 [Pete Reichert] *
1 [Sean Flynn (3)] *
64 [Chris Bratton] *
25 [Drive Like Jehu] *
49 [Rick Froberg] *
16 [Mark Trombino] *
1 [Mike Kennedy (2)] *
25 [Hot Snakes] *
16 [Jason Kourkounis] *
1 [Gar Wood]
)
= 8.29 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Atom Willard] *
1 [Rocket from the Crypt] *
1 [Mario Rubalcaba] *
1 [Andy Stamets] *
1 [Elaina Torres] *
1 [Jason Crane] *
1 [Paul O'Beirne] *
1 [Pete Reichert] *
1 [Sean Flynn (3)] *
1 [Chris Bratton] *
1 [Drive Like Jehu] *
1 [Rick Froberg] *
1 [Mark Trombino] *
1 [Mike Kennedy (2)] *
1 [Hot Snakes] *
1 [Jason Kourkounis] *
1 [Gar Wood]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
17
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.15%
(8.29 × 1016 overall)
Dominant nodes (excluded from chart)Atom Willard 37.00%Mario Rubalcaba 25.10%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 27, 1:32 AM
San Diego County, United States
31
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