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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Moe Jeudy-Lamour] *
16 [Colm Feore] *
324 [Bon Cop Bad Cop] *
4 [Noam Jenkins] *
4 [Andreas Apergis] *
4 [Erik Knudsen] *
1 [Amy Sobol] *
1 [Catherine St-Laurent] *
1 [Claude Poirier] *
1 [Hamza Haq] *
1 [Jacob Reardon] *
1 [Jameson Kraemer] *
1 [Karl Werleman] *
1 [Mariana Mazza] *
1 [Neil Crone] *
1 [Patrick Huard] *
1 [Sarah-Jeanne Labrosse] *
1 [Marc Beaupré]
)
= 3.98M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Moe Jeudy-Lamour] *
1 [Colm Feore] *
1 [Bon Cop Bad Cop] *
1 [Noam Jenkins] *
1 [Andreas Apergis] *
1 [Erik Knudsen] *
1 [Amy Sobol] *
1 [Catherine St-Laurent] *
1 [Claude Poirier] *
1 [Hamza Haq] *
1 [Jacob Reardon] *
1 [Jameson Kraemer] *
1 [Karl Werleman] *
1 [Mariana Mazza] *
1 [Neil Crone] *
1 [Patrick Huard] *
1 [Sarah-Jeanne Labrosse] *
1 [Marc Beaupré]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Bon Cop Bad Cop 85.94%Colm Feore 4.24%Moe Jeudy-Lamour 3.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)