Analyzing Network Connections...
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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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 34 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 64 [Feedbomb] *
4 [Randi Zuckerberg] *
1 [Johnson Robert] *
49 [David Ebersman] *
1 [Sean Chaffin] *
4 [Eric Zamore] *
16 [Pete Hunt] *
100 [Coverflow] *
1 [social chorus] *
9 [SONIC LOVE TONIC] *
81 [THE OPEN SOURCE BAND] *
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] *
4 [John Vars] *
1 [David Dobbs] *
1 [Sarah Rosenberg Shaw] *
1 [Samuel Shaw] *
1 [Matt Bullock] *
1 [Eric Elliott] *
1 [ethan beard] *
1 [kristian segerstrale] *
1 [parasha fuloria] *
1 [Philip Kaplan] *
1 [Tim Chang] *
1 [pangua her] *
1 [bamm tv] *
35 [Raj Kapoor]
)
= 9.56 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Feedbomb] *
1 [Randi Zuckerberg] *
1 [Johnson Robert] *
1 [David Ebersman] *
1 [Sean Chaffin] *
1 [Eric Zamore] *
1 [Pete Hunt] *
1 [Coverflow] *
1 [social chorus] *
1 [SONIC LOVE TONIC] *
1 [THE OPEN SOURCE BAND] *
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 [John Vars] *
1 [David Dobbs] *
1 [Sarah Rosenberg Shaw] *
1 [Samuel Shaw] *
1 [Matt Bullock] *
1 [Eric Elliott] *
1 [ethan beard] *
1 [kristian segerstrale] *
1 [parasha fuloria] *
1 [Philip Kaplan] *
1 [Tim Chang] *
1 [pangua her] *
1 [bamm tv] *
0.7143 [Raj Kapoor]
)
= 0.7143
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
34
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
7.68%
(9.56 × 1016 overall)
Dominant nodes (excluded from chart)Coverflow 21.32%THE OPEN SOURCE BAND 17.27%Feedbomb 13.65%David Ebersman 10.45%VIOLIN TENDENCIES 7.68%Raj Kapoor 7.46%Pete Hunt 3.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 11, 8:34 AM
Mountain View, Santa Clara County, United States
72
