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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 26 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 144 [Manhattan Transfer] *
64 [Janis Siegel] *
25 [Tim Hauser] *
16 [Cheryl Bentyne] *
9 [Erin Dickins] *
49 [Gene Pistilli] *
9 [Laurel Massé] *
9 [Marty Nelson] *
9 [Pat Rosalia] *
4 [Trist Curless] *
4 [Margaret Dorn] *
9 [Trist Ethan Curless] *
361 [Disrupt] *
4 [Terry Savastano] *
9 [Jay Stiles] *
1 [Bob Palombo] *
1 [Chris Drake (2)] *
1 [Harry Haralabatos] *
1 [Jeff Hayward] *
4 [Pete Kamarinos] *
1 [Randy Odierno] *
1 [Scott Lucid] *
4 [Michael Franks] *
121 [The Manhattan Transfer] *
4 [Grease Broadway Cast] *
25 [Barry Bostwick]
)
= 6.87 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Manhattan Transfer] *
1 [Janis Siegel] *
1 [Tim Hauser] *
1 [Cheryl Bentyne] *
1 [Erin Dickins] *
1 [Gene Pistilli] *
1 [Laurel Massé] *
1 [Marty Nelson] *
1 [Pat Rosalia] *
1 [Trist Curless] *
1 [Margaret Dorn] *
1 [Trist Ethan Curless] *
1 [Disrupt] *
1 [Terry Savastano] *
1 [Jay Stiles] *
1 [Bob Palombo] *
1 [Chris Drake (2)] *
1 [Harry Haralabatos] *
1 [Jeff Hayward] *
1 [Pete Kamarinos] *
1 [Randy Odierno] *
1 [Scott Lucid] *
1 [Michael Franks] *
1 [The Manhattan Transfer] *
1 [Grease Broadway Cast] *
1 [Barry Bostwick]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
26
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.77%
(6.87 × 1024 overall)
Dominant nodes (excluded from chart)Disrupt 39.89%Manhattan Transfer 15.91%The Manhattan Transfer 13.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
