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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 289 [Atom Willard] *
81 [Rocket from the Crypt] *
196 [Mario Rubalcaba] *
1 [Andy Stamets] *
1 [Elaina Torres] *
9 [John Reis] *
1 [Paul O'Beirne] *
1 [Pete Reichert] *
1 [Sean Flynn (3)] *
169 [Joe Plummer] *
16 [The Black Heart Procession] *
36 [Pall Jenkins] *
1 [Tobias Nathaniel]
)
= 16.08T
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 [John Reis] *
1 [Paul O'Beirne] *
1 [Pete Reichert] *
1 [Sean Flynn (3)] *
1 [Joe Plummer] *
1 [The Black Heart Procession] *
1 [Pall Jenkins] *
1 [Tobias Nathaniel]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
13
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Atom Willard 35.86%Mario Rubalcaba 24.32%Joe Plummer 20.97%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 29, 10:19 PM
San Diego County, United States
36
Related Content
No related content found.