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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 1 [The Webb Brothers] *
1 [Tony McKeown] *
1 [Willy Sharpe] *
1 [Richie Thomas] *
1 [Michael Paisley] *
1 [Merritt Lear] *
1 [Joe Cassidy] *
1 [James Harris (uk)] *
1 [Andrew Poucher] *
16 [A.R. Kane] *
1 [James Harris (2)] *
1 [Pendle (2)] *
4 [Richard Thomas (2)] *
1 [Alex Ayuli] *
1 [Rudy Tambala] *
1 [Russell Smith (2)] *
361 [The Jesus And Mary Chain]
)
= 3.9M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Webb Brothers] *
1 [Tony McKeown] *
1 [Willy Sharpe] *
1 [Richie Thomas] *
1 [Michael Paisley] *
1 [Merritt Lear] *
1 [Joe Cassidy] *
1 [James Harris (uk)] *
1 [Andrew Poucher] *
1 [A.R. Kane] *
1 [James Harris (2)] *
1 [Pendle (2)] *
1 [Richard Thomas (2)] *
1 [Alex Ayuli] *
1 [Rudy Tambala] *
1 [Russell Smith (2)] *
1 [The Jesus And Mary Chain]
)
= 1
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
17
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Jesus And Mary Chain 64.01%A.R. Kane 2.84%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 22, 8:35 PM
Belfast, Northern Ireland, United Kingdom
39
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