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 [Andrew Pinching] *
324 [English Dogs] *
25 [Graham Butt] *
9 [Spikey T. Smith] *
1 [Stu West] *
4 [Shop Nandi] *
1 [Craig Christy] *
1 [Jay Tatler] *
1 [Michael Tatler] *
1 [Nick Wynch] *
1 [Pete Wakefield] *
1 [Richard Grizzwell] *
1 [Ryan Christy] *
1 [Shawn Atkins] *
4 [Tracey Abbott] *
1 [Ade Bailey (2)] *
1 [Mark Watson (4)] *
1 [Stuart Jones (3)]
)
= 18.66M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Andrew Pinching] *
1 [English Dogs] *
1 [Graham Butt] *
1 [Spikey T. Smith] *
1 [Stu West] *
1 [Shop Nandi] *
1 [Craig Christy] *
1 [Jay Tatler] *
1 [Michael Tatler] *
1 [Nick Wynch] *
1 [Pete Wakefield] *
1 [Richard Grizzwell] *
1 [Ryan Christy] *
1 [Shawn Atkins] *
1 [Tracey Abbott] *
1 [Ade Bailey (2)] *
1 [Mark Watson (4)] *
1 [Stuart Jones (3)]
)
= 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)English Dogs 82.03%Graham Butt 6.33%Andrew Pinching 4.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)