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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 12 [Paschal Donohoe] *
25 [Dublin Central] *
1 [Campaign Posters] *
64 [Sensori Facilities Management Ltd (Sensori FM)] *
4 [Bike Shed Controversy] *
1 [Deirdre McGrath] *
1 [John Conlon] *
1 [Office of Public Works] *
1 [PJ Coady] *
1 [separate them by coma Sensori Facilities Management Ltd] *
1 [John Sisk & Son]
)
= 691.2K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Paschal Donohoe] *
1 [Dublin Central] *
1 [Campaign Posters] *
1 [Sensori Facilities Management Ltd (Sensori FM)] *
1 [Bike Shed Controversy] *
1 [Deirdre McGrath] *
1 [John Conlon] *
1 [Office of Public Works] *
1 [PJ Coady] *
1 [separate them by coma Sensori Facilities Management Ltd] *
1 [John Sisk & Son]
)
= 1.33
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
11
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Sensori Facilities Management Ltd (Sensori FM) 52.89%Dublin Central 20.66%Paschal Donohoe 9.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)