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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 256 [Night Rhythms] *
16 [Tracy Tweed] *
1 [Alicyn Sterling] *
1 [Deborah Driggs] *
1 [Delia Sheppard] *
1 [Erika Nann] *
1 [Jamie Summers] *
1 [Kelly Royce] *
1 [Patrice Leal] *
1 [Stephen Fiachi] *
1 [Tamara Longley] *
1 [Theresa Ring] *
4 [Sam J. Jones] *
1 [Timothy C. Burns] *
1 [Vinnie Curto] *
20 [Martin Hewitt]
)
= 327.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Night Rhythms] *
1 [Tracy Tweed] *
1 [Alicyn Sterling] *
1 [Deborah Driggs] *
1 [Delia Sheppard] *
1 [Erika Nann] *
1 [Jamie Summers] *
1 [Kelly Royce] *
1 [Patrice Leal] *
1 [Stephen Fiachi] *
1 [Tamara Longley] *
1 [Theresa Ring] *
1 [Sam J. Jones] *
1 [Timothy C. Burns] *
1 [Vinnie Curto] *
0.8 [Martin Hewitt]
)
= 0.8
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Night Rhythms 82.85%Martin Hewitt 6.47%Tracy Tweed 5.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)