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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Leslie Lyles] *
42 [Tammy Blanchard] *
1 [Andrew Dice Clay] *
4 [Andrew Long] *
81 [Cate Blanchett] *
4 [Alec Baldwin] *
16 [Ted Neustadt] *
361 [Blue Jasmine] *
4 [Charlie Tahan] *
4 [Peter Sarsgaard] *
9 [Sally Hawkins] *
1 [Annie McNamara] *
1 [Daniel Jenks] *
1 [Glen Caspillo] *
1 [John Harrington Bland] *
1 [Joy Carlin] *
1 [Kathy Tong] *
1 [Laurena Allan] *
1 [Max Rutherford]
)
= 905.47B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Leslie Lyles] *
1.17 [Tammy Blanchard] *
1 [Andrew Dice Clay] *
1 [Andrew Long] *
1 [Cate Blanchett] *
1 [Alec Baldwin] *
1 [Ted Neustadt] *
1 [Blue Jasmine] *
1 [Charlie Tahan] *
1 [Peter Sarsgaard] *
1 [Sally Hawkins] *
1 [Annie McNamara] *
1 [Daniel Jenks] *
1 [Glen Caspillo] *
1 [John Harrington Bland] *
1 [Joy Carlin] *
1 [Kathy Tong] *
1 [Laurena Allan] *
1 [Max Rutherford]
)
= 1.46
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Blue Jasmine 65.05%Cate Blanchett 14.59%Tammy Blanchard 7.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)