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, 13) = 13
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 1 [Amanda Gordon] *
1 [Angelina Lais] *
1 [Chad Dutton] *
1 [Geoffrey M. Brown] *
1 [Julie Jackson] *
1 [Molly Zupon] *
1 [Paul Score] *
1 [Rachael Salisbury] *
1 [Sean Larson] *
1 [Susanne Becker] *
1 [Tim Wick] *
1 [Tonya Wershow] *
1 [Trevor Hartman]
)
= 169
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Amanda Gordon] *
1 [Angelina Lais] *
1 [Chad Dutton] *
1 [Geoffrey M. Brown] *
1 [Julie Jackson] *
1 [Molly Zupon] *
1 [Paul Score] *
1 [Rachael Salisbury] *
1 [Sean Larson] *
1 [Susanne Becker] *
1 [Tim Wick] *
1 [Tonya Wershow] *
1 [Trevor Hartman]
)
= 1
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
13
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 20, 6:54 PM
Cass County, United States
24
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