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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 4 [Gerard Way] *
1 [Bob Bryar] *
144 [Frank Iero] *
1 [Matt Pelissier] *
9 [Mikey Way] *
16 [Ray Toro] *
25 [Leathermouth] *
1 [Ed Auletta] *
4 [John McGuire (6)] *
1 [Rob Hughes (4)] *
36 [Matt Pryor] *
4 [The Get Up Kids] *
49 [My Chemical Romance] *
64 [COALESCE] *
4 [Death Spells] *
9 [Reggie And The Full Effect] *
1 [Nathan Ellis] *
4 [Nathan Jr. Richardson] *
4 [Cory White] *
1 [Jes Steineger] *
1 [Jim Redd] *
1 [Sean Ingram] *
1 [Stacy Hilt]
)
= 7.77 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gerard Way] *
1 [Bob Bryar] *
1 [Frank Iero] *
1 [Matt Pelissier] *
1 [Mikey Way] *
1 [Ray Toro] *
1 [Leathermouth] *
1 [Ed Auletta] *
1 [John McGuire (6)] *
1 [Rob Hughes (4)] *
1 [Matt Pryor] *
1 [The Get Up Kids] *
1 [My Chemical Romance] *
1 [COALESCE] *
1 [Death Spells] *
1 [Reggie And The Full Effect] *
1 [Nathan Ellis] *
1 [Nathan Jr. Richardson] *
1 [Cory White] *
1 [Jes Steineger] *
1 [Jim Redd] *
1 [Sean Ingram] *
1 [Stacy Hilt]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
23
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
8.55%
(7.77 × 1016 overall)
Dominant nodes (excluded from chart)Frank Iero 34.20%COALESCE 15.20%My Chemical Romance 11.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 25, 3:05 AM
San Diego County, United States
42
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