Analyzing Network Connections...
Loading Map...
Nearest Locations
📍
📍
📍
📍
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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 144 [arcady] *
16 [The Black Family] *
36 [Arcady (2)] *
25 [Sean Keane] *
9 [NIAMH PARSONS] *
9 [Sharon Shannon] *
25 [jackie daly] *
36 [PJ Curtis] *
4 [Johnny "Ringo" McDonagh] *
4 [Cathal Hayden] *
1 [Patsy Broderick] *
36 [Nicolas Quemener] *
1 [Conor Keane] *
1 [Brendan Larrissey] *
1 [Martin Black] *
1 [Michael Black (5)] *
1 [Shay Black] *
9 [Seamie O'Dowd]
)
= 7.05 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [arcady] *
1 [The Black Family] *
1 [Arcady (2)] *
1 [Sean Keane] *
1 [NIAMH PARSONS] *
1 [Sharon Shannon] *
1 [jackie daly] *
1 [PJ Curtis] *
1 [Johnny "Ringo" McDonagh] *
1 [Cathal Hayden] *
1 [Patsy Broderick] *
1 [Nicolas Quemener] *
1 [Conor Keane] *
1 [Brendan Larrissey] *
1 [Martin Black] *
1 [Michael Black (5)] *
1 [Shay Black] *
1 [Seamie O'Dowd]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
18
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.45%
(7.05 × 1015 overall)
Dominant nodes (excluded from chart)arcady 39.13%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 13, 1:17 AM
Dublin, County Dublin, Ireland
94
Related Content
No related content found.
