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, 7) = 7
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 4 = 28
Base_Influence (IV) = $inbound / $outbound = 7 / 4 = 1.75
// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 28 *
( 1 [Door of 10 Downing Street] *
1 [Files from Number 10 Flickr stream] *
1 [Interior of 10 Downing Street] *
4 [Sue Gray Report] *
1 [Westminster lockdown parties controversy] *
1 [Development of policies to address human trafficking in supply chains]
)
= 112
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.75 *
( 1 [Door of 10 Downing Street] *
1 [Files from Number 10 Flickr stream] *
1 [Interior of 10 Downing Street] *
1 [Sue Gray Report] *
1 [Westminster lockdown parties controversy] *
1 [Development of policies to address human trafficking in supply chains]
)
= 1.75
Outbound
7
Tags on post
Inbound
4
Posts tagging this
Connections
6
Total nodes
Base Node Strength
28
Base Node Influence
1.75
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Chief Mouser to the Cabinet Office
BROKEN LINKhuman trafficking
BROKEN LINKPeople at 10 Downing Street
BROKEN LINK