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, 6) = 6
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 5 = 30
Base_Influence (IV) = $inbound / $outbound = 6 / 5 = 1.2
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 30 *
( 4 [Sahla] *
1 [predictive-modeling] *
1 [sahla-method] *
1 [statistical-modeling] *
1 [time-series-analysis] *
1 [Fonda Sahla] *
16 [Econometrics] *
1 [Commitment to Development Index] *
1 [Random Effects and Fixed Effects models] *
1 [W. Brian Arthur]
)
= 1.9K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2 *
( 1 [Sahla] *
1 [predictive-modeling] *
1 [sahla-method] *
1 [statistical-modeling] *
1 [time-series-analysis] *
1 [Fonda Sahla] *
1 [Econometrics] *
1 [Commitment to Development Index] *
1 [Random Effects and Fixed Effects models] *
1 [W. Brian Arthur]
)
= 1.2
Outbound
6
Tags on post
Inbound
5
Posts tagging this
Connections
10
Total nodes
Base Node Strength
30
Base Node Influence
1.2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Econometrics 27.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
