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 *
( 25 [The VSS] *
16 [Feb 10 1997 The VSS] *
4 [Joshua Hughes] *
36 [Sonny Kay] *
1 [Andrew Rothbard] *
16 [Marriages] *
9 [Emma Ruth Rundle] *
1 [Andrew Clinco] *
4 [Greg Burns (2)] *
64 [Brent Hinds] *
144 [Red Sparowes] *
49 [Josh Graham] *
4 [Brendan Tobin] *
1 [David Clifford] *
100 [Jeff Caxide] *
1 [Andy Arahood] *
9 [Greg Burns] *
1 [Bryant Clifford Meyer] *
1 [Dana Berkowitz]
)
= 4.85 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The VSS] *
1 [Feb 10 1997 The VSS] *
1 [Joshua Hughes] *
1 [Sonny Kay] *
1 [Andrew Rothbard] *
1 [Marriages] *
1 [Emma Ruth Rundle] *
1 [Andrew Clinco] *
1 [Greg Burns (2)] *
1 [Brent Hinds] *
1 [Red Sparowes] *
1 [Josh Graham] *
1 [Brendan Tobin] *
1 [David Clifford] *
1 [Jeff Caxide] *
1 [Andy Arahood] *
1 [Greg Burns] *
1 [Bryant Clifford Meyer] *
1 [Dana Berkowitz]
)
= 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)
1.82%
(4.85 × 1017 overall)
Dominant nodes (excluded from chart)Red Sparowes 29.09%Jeff Caxide 20.20%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)