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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 15 [James Cosmo] *
306 [Babe: Pig in the City] *
9 [Steven Wright] *
9 [Elizabeth Daily] *
81 [James Cromwell] *
16 [Russi Taylor] *
25 [Glenne Headly] *
4 [Hugo Weaving] *
4 [Nathan Kress] *
1 [Adam Goldberg] *
1 [Bill Capizzi] *
1 [Danny Mann] *
1 [Magda Szubanski] *
1 [Mary Stein] *
4 [Miriam Margolyes] *
1 [Myles Jeffrey] *
1 [Stanley Ralph Ross]
)
= 770.94B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.67 [James Cosmo] *
1.06 [Babe: Pig in the City] *
1 [Steven Wright] *
1 [Elizabeth Daily] *
1 [James Cromwell] *
1 [Russi Taylor] *
1 [Glenne Headly] *
1 [Hugo Weaving] *
1 [Nathan Kress] *
1 [Adam Goldberg] *
1 [Bill Capizzi] *
1 [Danny Mann] *
1 [Magda Szubanski] *
1 [Mary Stein] *
1 [Miriam Margolyes] *
1 [Myles Jeffrey] *
1 [Stanley Ralph Ross]
)
= 1.76
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Babe: Pig in the City 63.62%James Cromwell 16.84%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)