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, 8) = 8
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 5 = 40
Base_Influence (IV) = $inbound / $outbound = 8 / 5 = 1.6
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 40 *
( 42 [Dearborn Press] *
90 [Henry Ford] *
1 [Detroit News] *
9 [Ernest G. Liebold] *
9 [The Ford International Weekly] *
4 [William J. Cameron] *
4 [Fair Lane, Dearborn] *
1 [Fair Lane] *
1 [Buildings in Dearborn, Michigan] *
1 [Dearborn, Michigan]
)
= 195.96M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.6 *
( 1.17 [Dearborn Press] *
1.11 [Henry Ford] *
1 [Detroit News] *
1 [Ernest G. Liebold] *
1 [The Ford International Weekly] *
1 [William J. Cameron] *
1 [Fair Lane, Dearborn] *
1 [Fair Lane] *
1 [Buildings in Dearborn, Michigan] *
1 [Dearborn, Michigan]
)
= 2.07
Outbound
8
Tags on post
Inbound
5
Posts tagging this
Connections
10
Total nodes
Base Node Strength
40
Base Node Influence
1.6
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Henry Ford 44.55%Dearborn Press 20.79%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Automotive Hall of Fame
BROKEN LINKDearborn Independent
BROKEN LINK