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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 2 [Trading] *
42 [Economic statistics] *
4 [resources] *
49 [Copenhagen Business School] *
4 [Distributed energy resources] *
1 [Economic statistics for the OECD] *
1 [Economic statistics of BRICS countries] *
4 [Money supply] *
1 [Occupation charts] *
1 [Productivity graphs] *
1 [Okun's law charts]
)
= 21.34M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Trading] *
1.17 [Economic statistics] *
1 [resources] *
1 [Copenhagen Business School] *
1 [Distributed energy resources] *
1 [Economic statistics for the OECD] *
1 [Economic statistics of BRICS countries] *
1 [Money supply] *
1 [Occupation charts] *
1 [Productivity graphs] *
1 [Okun's law charts]
)
= 2.33
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
11
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Copenhagen Business School 25.65%Economic statistics 21.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Economic models
BROKEN LINKEconomic policy
BROKEN LINKLibertarianism
BROKEN LINKSubfields of economics
BROKEN LINKWelfare theory
BROKEN LINK
No other posts link to this one yet.
