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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 64 [Feedbomb] *
100 [Coverflow] *
36 [Alison Murdock] *
1 [social chorus] *
9 [SONIC LOVE TONIC] *
36 [VIOLIN TENDENCIES] *
9 [Greta Boesel] *
1 [Greg Studley] *
1 [Moniz Franco] *
1 [Michael Shaw] *
1 [Matt Jervis] *
1 [Larry Marcus] *
1 [Jay Webster] *
1 [Andrew Stess] *
1 [OPEN SOURCE BAND]
)
= 54.42B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Feedbomb] *
1 [Coverflow] *
1 [Alison Murdock] *
1 [social chorus] *
1 [SONIC LOVE TONIC] *
1 [VIOLIN TENDENCIES] *
1 [Greta Boesel] *
1 [Greg Studley] *
1 [Moniz Franco] *
1 [Michael Shaw] *
1 [Matt Jervis] *
1 [Larry Marcus] *
1 [Jay Webster] *
1 [Andrew Stess] *
1 [OPEN SOURCE BAND]
)
= 1
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
15
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Coverflow 29.07%Feedbomb 18.60%Alison Murdock 10.47%VIOLIN TENDENCIES 10.47%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 21, 11:13 PM
Mountain View, Santa Clara County, United States
48
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