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 *
( 16 [Hannah Waddingham] *
324 [Winter Ridge] *
1 [Justin McDonald] *
4 [Alan Ford] *
1 [Claudia Archer] *
1 [Ella Road] *
1 [Elowen Harris] *
1 [Ian Pirie] *
1 [Jd Roth-round] *
1 [Joss Wyre] *
1 [Lesley Anne Webb] *
1 [Martin Ross] *
1 [Matt Hookings] *
1 [Michael McKell] *
1 [Nikita Baron] *
1 [Noeleen Comiskey] *
1 [Olwen Catherine Kelly] *
1 [Tim Cullingworth-Hudson]
)
= 20.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Hannah Waddingham] *
1 [Winter Ridge] *
1 [Justin McDonald] *
1 [Alan Ford] *
1 [Claudia Archer] *
1 [Ella Road] *
1 [Elowen Harris] *
1 [Ian Pirie] *
1 [Jd Roth-round] *
1 [Joss Wyre] *
1 [Lesley Anne Webb] *
1 [Martin Ross] *
1 [Matt Hookings] *
1 [Michael McKell] *
1 [Nikita Baron] *
1 [Noeleen Comiskey] *
1 [Olwen Catherine Kelly] *
1 [Tim Cullingworth-Hudson]
)
= 1
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)Winter Ridge 90.00%Hannah Waddingham 4.44%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)