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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 42 [Skeppsholmen] *
1 [Bredband] *
1 [Mamy Blue] *
1 [Vägsjälar] *
1 [Mindepartementet Art and Photograhy] *
4 [Skeppsholmen ferry terminal] *
1 [Views from Skeppsholmen] *
1 [Skeppsholmen salut för prinsessan Estelle 2012-02-23] *
1 [Skeppsholmen, Förlig Wind]
)
= 2.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Skeppsholmen] *
1 [Bredband] *
1 [Mamy Blue] *
1 [Vägsjälar] *
1 [Mindepartementet Art and Photograhy] *
1 [Skeppsholmen ferry terminal] *
1 [Views from Skeppsholmen] *
1 [Skeppsholmen salut för prinsessan Estelle 2012-02-23] *
1 [Skeppsholmen, Förlig Wind]
)
= 1.17
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
9
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Skeppsholmen 60.87%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)