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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 49 [Paul McAteer] *
4 [Richard Fitzgerald] *
9 [Dick Farrelly] *
1 [Topes Curnce] *
4 [Andy Davidson] *
16 [John Dee] *
36 [Scullion] *
9 [Bumper to Bumper] *
16 [Supply Demand & Curve] *
4 [Supply Demand and Curve] *
36 [Blackthorn (Band)] *
36 [Under River] *
144 [Vanguard Six] *
256 [Hoot'nanny's] *
16 [The Rockets] *
2.4K [Maurice Mulcahy Showband] *
1 [Enochian language] *
1 [Monas Hieroglyphica] *
1 [Bruce Wayne Experience]
)
= 1.55 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paul McAteer] *
1 [Richard Fitzgerald] *
1 [Dick Farrelly] *
1 [Topes Curnce] *
1 [Andy Davidson] *
1 [John Dee] *
1 [Scullion] *
1 [Bumper to Bumper] *
1 [Supply Demand & Curve] *
1 [Supply Demand and Curve] *
1 [Blackthorn (Band)] *
1 [Under River] *
1 [Vanguard Six] *
1 [Hoot'nanny's] *
1 [The Rockets] *
1 [Maurice Mulcahy Showband] *
1 [Enochian language] *
1 [Monas Hieroglyphica] *
1 [Bruce Wayne Experience]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
19
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.17%
(1.55 × 1023 overall)
Dominant nodes (excluded from chart)Maurice Mulcahy Showband 78.06%Hoot'nanny's 8.32%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 17, 4:57 AM
Dublin, County Dublin, Ireland
125
Related Content
No related content found.