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, 5) = 5
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 4 = 20
Base_Influence (IV) = $inbound / $outbound = 5 / 4 = 1.25
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 20 *
( 2 [Dog fouling] *
1 [Azuma House] *
1 [Row houses in Austria] *
1 [Row houses in France] *
1 [Row houses in Norway] *
1 [Not Just Bikes] *
1 [Decumani] *
1 [Dissonant architecture in the historic center of Manaus] *
1 [Urban history] *
1 [Jane's Walk] *
1 [Musée d'histoire urbaine et sociale de Suresnes]
)
= 40
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.25 *
( 2 [Dog fouling] *
1 [Azuma House] *
1 [Row houses in Austria] *
1 [Row houses in France] *
1 [Row houses in Norway] *
1 [Not Just Bikes] *
1 [Decumani] *
1 [Dissonant architecture in the historic center of Manaus] *
1 [Urban history] *
1 [Jane's Walk] *
1 [Musée d'histoire urbaine et sociale de Suresnes]
)
= 2.5
Outbound
5
Tags on post
Inbound
4
Posts tagging this
Connections
11
Total nodes
Base Node Strength
20
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)