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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 36 [HALIFAX PIER] *
1 [Charles Sommer] *
1 [Forest Kuhn] *
1 [Claire Monty] *
1 [Jaime Reeder] *
1 [Nathan Salsburg] *
64 [Brent Hinds] *
144 [Red Sparowes] *
49 [Josh Graham] *
4 [Brendan Tobin] *
9 [Emma Ruth Rundle] *
1 [David Clifford] *
100 [Jeff Caxide] *
1 [Andy Arahood] *
1 [Bryant Clifford Meyer] *
9 [Dave Clifford] *
4 [Greg Burns (2)] *
1 [Dana Berkowitz] *
1 [The Burns Brothers (2)]
)
= 18.96T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [HALIFAX PIER] *
1 [Charles Sommer] *
1 [Forest Kuhn] *
1 [Claire Monty] *
1 [Jaime Reeder] *
1 [Nathan Salsburg] *
1 [Brent Hinds] *
1 [Red Sparowes] *
1 [Josh Graham] *
1 [Brendan Tobin] *
1 [Emma Ruth Rundle] *
1 [David Clifford] *
1 [Jeff Caxide] *
1 [Andy Arahood] *
1 [Bryant Clifford Meyer] *
1 [Dave Clifford] *
1 [Greg Burns (2)] *
1 [Dana Berkowitz] *
1 [The Burns Brothers (2)]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Red Sparowes 32.88%Jeff Caxide 22.83%Brent Hinds 14.61%Josh Graham 11.19%HALIFAX PIER 8.22%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)