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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 64 [Cryptal Darkness] *
16 [Mark Kelson] *
9 [Martin Powell] *
1 [Jade von Nagy] *
1 [Oneil Alexander] *
1 [Paul Venables] *
4 [Sean Hinds] *
1 [Geoff Kloprogge] *
144 [Jayson Sherlock] *
100 [Paramaecium] *
1 [Andrew Tompkins] *
1 [Colin Mynard] *
64 [Ian Arkley] *
9 [Jason De Ron] *
1 [Mark Orr] *
1 [Steve Palmer (2)] *
1 [Les "Rhino" Griffiths]
)
= 1.22T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cryptal Darkness] *
1 [Mark Kelson] *
1 [Martin Powell] *
1 [Jade von Nagy] *
1 [Oneil Alexander] *
1 [Paul Venables] *
1 [Sean Hinds] *
1 [Geoff Kloprogge] *
1 [Jayson Sherlock] *
1 [Paramaecium] *
1 [Andrew Tompkins] *
1 [Colin Mynard] *
1 [Ian Arkley] *
1 [Jason De Ron] *
1 [Mark Orr] *
1 [Steve Palmer (2)] *
1 [Les "Rhino" Griffiths]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Jayson Sherlock 34.04%Paramaecium 23.64%Cryptal Darkness 15.13%Ian Arkley 15.13%Mark Kelson 3.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)