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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 81 [The Monkees: A Band and Cultural Phenomenon] *
100 [Alan Raph] *
9 [Lee Konitz Big Band] *
25 [Pond Life (2)] *
16 [The Pond Life Orchestra] *
121 [Bob Brookmeyer And His Orchestra] *
9 [Gerry Mulligan And His Orchestra] *
81 [The Monkees] *
16 [Gerry Mulligan & The Concert Jazz Band] *
1 [Sweat & Tears]
)
= 41.15T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Monkees: A Band and Cultural Phenomenon] *
1 [Alan Raph] *
1 [Lee Konitz Big Band] *
1 [Pond Life (2)] *
1 [The Pond Life Orchestra] *
1 [Bob Brookmeyer And His Orchestra] *
1 [Gerry Mulligan And His Orchestra] *
1 [The Monkees] *
1 [Gerry Mulligan & The Concert Jazz Band] *
1 [Sweat & Tears]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
10
Total nodes
Base Node Strength
1
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: Sep 14, 11:39 PM
Kern County, United States
32
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