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 [Davina Whitehouse] *
36 [Jed Brophy] *
324 [Dead Alive] *
4 [Elizabeth Moody] *
1 [Brenda Kendall] *
1 [Brian Sergent] *
1 [Elizabeth Mulfaxe] *
1 [Glenis Levestam] *
1 [Harry Sinclair] *
16 [Ian Watkin] *
1 [Lewis Rowe] *
1 [Murray Keane] *
1 [Peter Vere-Jones] *
1 [Silvio Famularo] *
4 [Stephen Papps] *
1 [Stuart Devenie] *
1 [Timothy Balme] *
1 [Diana Peñalver]
)
= 35.83M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Davina Whitehouse] *
1 [Jed Brophy] *
1 [Dead Alive] *
1 [Elizabeth Moody] *
1 [Brenda Kendall] *
1 [Brian Sergent] *
1 [Elizabeth Mulfaxe] *
1 [Glenis Levestam] *
1 [Harry Sinclair] *
1 [Ian Watkin] *
1 [Lewis Rowe] *
1 [Murray Keane] *
1 [Peter Vere-Jones] *
1 [Silvio Famularo] *
1 [Stephen Papps] *
1 [Stuart Devenie] *
1 [Timothy Balme] *
1 [Diana Peñalver]
)
= 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)Dead Alive 79.22%Jed Brophy 8.80%Ian Watkin 3.91%Davina Whitehouse 2.93%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)