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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 36 [tom petty] *
100 [Mudcrutch] *
49 [Benmont Tench] *
36 [Mike Campbell] *
25 [Tom Leadon] *
1 [Randall Marsh] *
1 [Jim Lenahan] *
1 [Danny Roberts] *
1 [Charlie Souza] *
1 [Danny Roberts (6)] *
144 [Tom Petty and the Heartbreakers] *
9 [Blue Stingrays] *
49 [Stevie Nicks] *
576 [Dave Grohl] *
49 [Bonnie Raitt] *
4 [Howie Epstein] *
25 [Stan Lynch] *
9 [Peter Noone] *
324 [George's Band] *
4 [Phil Jones (3)]
)
= 2.99 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [tom petty] *
1 [Mudcrutch] *
1 [Benmont Tench] *
1 [Mike Campbell] *
1 [Tom Leadon] *
1 [Randall Marsh] *
1 [Jim Lenahan] *
1 [Danny Roberts] *
1 [Charlie Souza] *
1 [Danny Roberts (6)] *
1 [Tom Petty and the Heartbreakers] *
1 [Blue Stingrays] *
1 [Stevie Nicks] *
1 [Dave Grohl] *
1 [Bonnie Raitt] *
1 [Howie Epstein] *
1 [Stan Lynch] *
1 [Peter Noone] *
1 [George's Band] *
1 [Phil Jones (3)]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.62%
(2.99 × 1024 overall)
Dominant nodes (excluded from chart)Dave Grohl 39.64%George's Band 22.30%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 15, 12:13 AM
Alachua County, United States
58
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