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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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 1 [Dennis Cornelius] *
1 [Greg Turley] *
1 [Lee Abney] *
1 [Minnesota Pete Campbell] *
64 [Ron Holzner] *
4 [Scott "Wino" Weinrich] *
1 [Tim Tomaselli] *
1 [Victor Griffin] *
16 [Scott Weinrich] *
1 [Pete Campbell (2)] *
196 [The Obsessed] *
25 [The Skull] *
9 [Goatsnake] *
16 [Debris Inc.] *
1 [Earthen Grave] *
4 [The Skull (4)] *
9 [Trouble (5)] *
1 [Wet Animal] *
25 [Shrinebuilder] *
49 [Spirit Caravan]
)
= 1.27 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dennis Cornelius] *
1 [Greg Turley] *
1 [Lee Abney] *
1 [Minnesota Pete Campbell] *
1 [Ron Holzner] *
1 [Scott "Wino" Weinrich] *
1 [Tim Tomaselli] *
1 [Victor Griffin] *
1 [Scott Weinrich] *
1 [Pete Campbell (2)] *
1 [The Obsessed] *
1 [The Skull] *
1 [Goatsnake] *
1 [Debris Inc.] *
1 [Earthen Grave] *
1 [The Skull (4)] *
1 [Trouble (5)] *
1 [Wet Animal] *
1 [Shrinebuilder] *
1 [Spirit Caravan]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
20
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
19.01%
(1.27 × 1016 overall)
Dominant nodes (excluded from chart)The Obsessed 37.26%Ron Holzner 12.17%Spirit Caravan 9.32%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 26, 8:00 PM
Knoxville, Knox County, United States
47
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