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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 48 [Mar 5] *
25 [5 Mar] *
4 [Ciarán of Seirkieran] *
4 [March 5] *
4 [Vladimir Putin on March 5] *
1 [Saint Piran's Day] *
16 [Crataegus monogyna] *
1 [Crataegus monogyna at 2nd Verkhny Mikhaylovsky Passage] *
1 [Crataegus monogyna subsp. monogyna] *
1 [Weissdorn auf dem Niederhofberg, Bruck an der Großglocknerstraße]
)
= 11.06M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Mar 5] *
1 [5 Mar] *
1 [Ciarán of Seirkieran] *
1 [March 5] *
1 [Vladimir Putin on March 5] *
1 [Saint Piran's Day] *
1 [Crataegus monogyna] *
1 [Crataegus monogyna at 2nd Verkhny Mikhaylovsky Passage] *
1 [Crataegus monogyna subsp. monogyna] *
1 [Weissdorn auf dem Niederhofberg, Bruck an der Großglocknerstraße]
)
= 1.33
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
10
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Mar 5 42.11%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)