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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 9 [Come To Grief] *
1 [Jonathan Hebert] *
4 [Justin Christian] *
64 [Janis Siegel] *
361 [Disrupt] *
25 [Tim Hauser] *
16 [Cheryl Bentyne] *
16 [Alan Paul] *
9 [Erin Dickins] *
49 [Gene Pistilli] *
9 [Laurel Massé] *
9 [Marty Nelson] *
9 [Pat Rosalia] *
9 [Jay Stiles] *
4 [Trist Curless] *
1 [Bob Palombo] *
1 [Chris Drake (2)] *
1 [Harry Haralabatos] *
1 [Jeff Hayward] *
4 [Pete Kamarinos] *
1 [Randy Odierno] *
1 [Scott Lucid]
)
= 9.86 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Come To Grief] *
1 [Jonathan Hebert] *
1 [Justin Christian] *
1 [Janis Siegel] *
1 [Disrupt] *
1 [Tim Hauser] *
1 [Cheryl Bentyne] *
1 [Alan Paul] *
1 [Erin Dickins] *
1 [Gene Pistilli] *
1 [Laurel Massé] *
1 [Marty Nelson] *
1 [Pat Rosalia] *
1 [Jay Stiles] *
1 [Trist Curless] *
1 [Bob Palombo] *
1 [Chris Drake (2)] *
1 [Harry Haralabatos] *
1 [Jeff Hayward] *
1 [Pete Kamarinos] *
1 [Randy Odierno] *
1 [Scott Lucid]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
22
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.66%
(9.86 × 1017 overall)
Dominant nodes (excluded from chart)Disrupt 59.38%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)