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Feedbomb
Coverflow
Alison Murdock
Philip Kaplan
Tim Chang
pangua herparasha fuloriakristian segerstralebamm tv
Raj Kapoor

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Related Images

BAMM.tv-Presents-Coverflow-Good-Feeling-FloRida-cover

Connected Bands/Artists

  • Coverflow
    Coverflow band photo
  • Feedbomb
    Feedbomb band photo

Connected Musicians

  • Alison Murdock
    Alison Murdock band photo
  • bamm tv
  • kristian segerstrale
  • pangua her
  • parasha fuloria
  • Philip Kaplan
    Philip Kaplan band photo
  • Tim Chang
    Tim Chang band photo

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Bobby Durango
    Bobby Durango0.0 km away
  • Thumbnail for Delta Rebels
    Delta Rebels0.1 km away
  • 📍
    Redwood Mountain Overlook45.1 km away
  • Thumbnail for Peter Erskine
    Peter Erskine59.7 km away
  • Thumbnail for Janne Schaffer
    Janne Schaffer59.7 km away

Network Profile

Overall Strength
i
0.41% of network
(8.06M)
Strength Breakdown
  • This Post (0.41%)
  • kristian segerstrale (0.41%)
  • parasha fuloria (0.41%)
  • Philip Kaplan (0.41%)
  • Tim Chang (0.41%)
  • pangua her (0.41%)
  • bamm tv (0.41%)
Dominant nodes (excluded from chart)
Coverflow 41.32%Feedbomb 26.45%Alison Murdock 14.88%Raj Kapoor 14.46%
Influence Score
i
9.33% of network
(0.7143)
Influence Breakdown
  • This Post (9.33%)
  • Coverflow (9.33%)
  • Feedbomb (9.33%)
  • Alison Murdock (9.33%)
  • kristian segerstrale (9.33%)
  • parasha fuloria (9.33%)
  • Philip Kaplan (9.33%)
  • Tim Chang (9.33%)
  • pangua her (9.33%)
  • bamm tv (9.33%)
  • Raj Kapoor (6.67%)
Direct Connections 2

Node & Network Details

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 *
                           ( 100 [Coverflow] *
                            64 [Feedbomb] *
                            36 [Alison Murdock] *
                            1 [kristian segerstrale] *
                            1 [parasha fuloria] *
                            1 [Philip Kaplan] *
                            1 [Tim Chang] *
                            1 [pangua her] *
                            1 [bamm tv] *
                            35 [Raj Kapoor]
                           )

                         = 8.06M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Coverflow] *
                            1 [Feedbomb] *
                            1 [Alison Murdock] *
                            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 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)
0.41% (8.06M overall)
  • This Post (0.41%)
  • kristian segerstrale (0.41%)
  • parasha fuloria (0.41%)
  • Philip Kaplan (0.41%)
  • Tim Chang (0.41%)
  • pangua her (0.41%)
  • bamm tv (0.41%)
Dominant nodes (excluded from chart)
Coverflow 41.32%Feedbomb 26.45%Alison Murdock 14.88%Raj Kapoor 14.46%
Influence Share (vs Direct Neighbours)
9.33% (0.7143 overall)
  • This Post (9.33%)
  • Coverflow (9.33%)
  • Feedbomb (9.33%)
  • Alison Murdock (9.33%)
  • kristian segerstrale (9.33%)
  • parasha fuloria (9.33%)
  • Philip Kaplan (9.33%)
  • Tim Chang (9.33%)
  • pangua her (9.33%)
  • bamm tv (9.33%)
  • Raj Kapoor (6.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Coverflow ↗
Str: 100Inf: 1
Feedbomb ↗
Str: 64Inf: 1
Alison Murdock ↗
Str: 36Inf: 1
kristian segerstrale ↗
Str: 1Inf: 1
parasha fuloria ↗
Str: 1Inf: 1
Philip Kaplan ↗
Str: 1Inf: 1
Tim Chang ↗
Str: 1Inf: 1
pangua her ↗
Str: 1Inf: 1
bamm tv ↗
Str: 1Inf: 1
Raj Kapoor ↗
Str: 35Inf: 0.7143
Weakest Connections (Lowest Multipliers)
Raj Kapoor ↗
Str: 35Inf: 0.7143
bamm tv ↗
Str: 1Inf: 1
pangua her ↗
Str: 1Inf: 1
Tim Chang ↗
Str: 1Inf: 1
Philip Kaplan ↗
Str: 1Inf: 1
parasha fuloria ↗
Str: 1Inf: 1
kristian segerstrale ↗
Str: 1Inf: 1
Alison Murdock ↗
Str: 36Inf: 1
Feedbomb ↗
Str: 64Inf: 1
Coverflow ↗
Str: 100Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
Coverflow
Inbound Posts (1)
Coverflow
Last calculated: Jun 20, 10:33 PM
Fresno County, United States43

Related Content

Figures

  • Raj Kapoor