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, 10) = 10
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 8 = 80
Base_Influence (IV) = $inbound / $outbound = 10 / 8 = 1.25
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 80 *
( 2 [American University, Washington athletics] *
12 [Washington College of Law] *
1 [ROTC, American University] *
1 [2020 WCAC Boys Basketball Championship Tournament] *
1 [Katzen Arts Center] *
4 [Kogod School of Business] *
1 [Ward Circle] *
1 [Alumni of Kogod School of Business] *
1 [Faculty of Washington College of Law] *
1 [Tenley Campus] *
2 [Washington athletics]
)
= 15.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.25 *
( 2 [American University, Washington athletics] *
1.33 [Washington College of Law] *
1 [ROTC, American University] *
1 [2020 WCAC Boys Basketball Championship Tournament] *
1 [Katzen Arts Center] *
1 [Kogod School of Business] *
1 [Ward Circle] *
1 [Alumni of Kogod School of Business] *
1 [Faculty of Washington College of Law] *
1 [Tenley Campus] *
0.5 [Washington athletics]
)
= 1.67
Outbound
10
Tags on post
Inbound
8
Posts tagging this
Connections
11
Total nodes
Base Node Strength
80
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Washington College of Law 11.21%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Alumni of American University
BROKEN LINKFaculty and staff of American University
BROKEN LINK