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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 9 [Jon Foreman] *
36 [Skillet] *
1 [Chad Butler (2)] *
4 [Drew Shirley] *
64 [Jerome Fontamillas] *
1 [Tim Foreman (2)] *
9 [Tim Foreman] *
36 [Christian rock] *
4 [Etc. (5)] *
4 [The Foreman Brothers] *
144 [Mandisa] *
121 [MercyMe] *
36 [The Afters] *
441 [Hillsong Worship] *
49 [Leeland] *
16 [All Together Separate] *
4 [Mortal (2)] *
1 [Blood (4)] *
1 [Fold Zandura] *
1 [Jyradelix] *
1 [Mortal Wish (2)] *
1 [MorZan (2)] *
1 [Simple (4)]
)
= 2.39 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jon Foreman] *
1 [Skillet] *
1 [Chad Butler (2)] *
1 [Drew Shirley] *
1 [Jerome Fontamillas] *
1 [Tim Foreman (2)] *
1 [Tim Foreman] *
1 [Christian rock] *
1 [Etc. (5)] *
1 [The Foreman Brothers] *
1 [Mandisa] *
1 [MercyMe] *
1 [The Afters] *
1 [Hillsong Worship] *
1 [Leeland] *
1 [All Together Separate] *
1 [Mortal (2)] *
1 [Blood (4)] *
1 [Fold Zandura] *
1 [Jyradelix] *
1 [Mortal Wish (2)] *
1 [MorZan (2)] *
1 [Simple (4)]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
23
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
6.10%
(2.39 × 1022 overall)
Dominant nodes (excluded from chart)Hillsong Worship 42.04%Mandisa 13.73%MercyMe 11.53%Jerome Fontamillas 6.10%Leeland 4.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 16, 11:33 PM
San Diego, San Diego County, United States
35
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