Analyzing Network Connections...
Network Profile
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 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 36 [Kenny Loggins] *
64 [Michael Jackson] *
9 [James Ingram] *
25 [Lionel Richie] *
16 [Dionne Warwick] *
4 [Donna Summer] *
25 [Brenda Russell] *
64 [All Star Choir] *
1 [Freedonia (2)] *
361 [Peter Erskine] *
324 [Bobby Shew] *
16 [Chris Walden Big Band] *
81 [Kye Palmer]
)
= 7.24 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Kenny Loggins] *
1 [Michael Jackson] *
1 [James Ingram] *
1 [Lionel Richie] *
1 [Dionne Warwick] *
1 [Donna Summer] *
1 [Brenda Russell] *
1 [All Star Choir] *
1 [Freedonia (2)] *
1 [Peter Erskine] *
1 [Bobby Shew] *
1 [Chris Walden Big Band] *
1 [Kye Palmer]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
13
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.87%
(7.24 × 1019 overall)
Dominant nodes (excluded from chart)Peter Erskine 34.88%Bobby Shew 31.30%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 4, 2:13 AM
Macon County, United States
60
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