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, 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 [The Crusaders] *
256 [Larry Carlton] *
81 [Hubert Laws] *
4 [Robert Popwell] *
25 [Stix Hooper] *
9 [Wilton Felder] *
144 [Joe Sample] *
16 [Wayne Henderson] *
441 [Max Bennett] *
4 [Henry Wilson] *
256 [Joe Pass]
)
= 2.35 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Crusaders] *
1 [Larry Carlton] *
1 [Hubert Laws] *
1 [Robert Popwell] *
1 [Stix Hooper] *
1 [Wilton Felder] *
1 [Joe Sample] *
1 [Wayne Henderson] *
1 [Max Bennett] *
1 [Henry Wilson] *
1 [Joe Pass]
)
= 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)
0.07%
(2.35 × 1018 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 28, 7:53 AM
Macon, Bibb County, United States
50
Related Content
No related content found.