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Bheki Mseleku
Hugh Masekela
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Zim NgqawanaNduduzo MakhathiniAbdullah IbrahimCape jazzThandiswa MazwaiTumi MogorosiBayete

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Connected Bands/Artists

  • Bayete
  • Cape jazz
  • Sakhile
  • Thandiswa Mazwai

Connected Musicians

  • Bheki Mseleku
  • Hugh Masekela
    Hugh Masekela band photo
  • Nduduzo Makhathini
  • Sibongile Khumalo
    Sibongile Khumalo band photo
  • Tumi Mogorosi
  • Zim Ngqawana

Analyzing Network Connections...

Network Profile

Overall Strength
i
3.57% of network
(44.08B)
Strength Breakdown
  • This Post (3.57%)
  • Abdullah Ibrahim (32.14%)
  • Cape jazz (32.14%)
  • Hugh Masekela (14.29%)
  • Bheki Mseleku (6.35%)
  • Nduduzo Makhathini (3.57%)
  • Zim Ngqawana (3.57%)
  • Sibongile Khumalo (1.59%)
  • Thandiswa Mazwai (1.59%)
  • Tumi Mogorosi (0.40%)
  • Bayete (0.40%)
  • Sakhile (0.40%)
Influence Score
i
8.33% of network
(1)
Influence Breakdown
  • This Post (8.33%)
  • Abdullah Ibrahim (8.33%)
  • Hugh Masekela (8.33%)
  • Sibongile Khumalo (8.33%)
  • Bheki Mseleku (8.33%)
  • Nduduzo Makhathini (8.33%)
  • Thandiswa Mazwai (8.33%)
  • Tumi Mogorosi (8.33%)
  • Zim Ngqawana (8.33%)
  • Cape jazz (8.33%)
  • Bayete (8.33%)
  • Sakhile (8.33%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 81 [Abdullah Ibrahim] *
                            36 [Hugh Masekela] *
                            4 [Sibongile Khumalo] *
                            16 [Bheki Mseleku] *
                            9 [Nduduzo Makhathini] *
                            4 [Thandiswa Mazwai] *
                            1 [Tumi Mogorosi] *
                            9 [Zim Ngqawana] *
                            81 [Cape jazz] *
                            1 [Bayete] *
                            1 [Sakhile]
                           )

                         = 44.08B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Abdullah Ibrahim] *
                            1 [Hugh Masekela] *
                            1 [Sibongile Khumalo] *
                            1 [Bheki Mseleku] *
                            1 [Nduduzo Makhathini] *
                            1 [Thandiswa Mazwai] *
                            1 [Tumi Mogorosi] *
                            1 [Zim Ngqawana] *
                            1 [Cape jazz] *
                            1 [Bayete] *
                            1 [Sakhile]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 11 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
3.57% (44.08B overall)
  • This Post (3.57%)
  • Abdullah Ibrahim (32.14%)
  • Cape jazz (32.14%)
  • Hugh Masekela (14.29%)
  • Bheki Mseleku (6.35%)
  • Nduduzo Makhathini (3.57%)
  • Zim Ngqawana (3.57%)
  • Sibongile Khumalo (1.59%)
  • Thandiswa Mazwai (1.59%)
  • Tumi Mogorosi (0.40%)
  • Bayete (0.40%)
  • Sakhile (0.40%)
Influence Share (vs Direct Neighbours)
8.33% (1 overall)
  • This Post (8.33%)
  • Abdullah Ibrahim (8.33%)
  • Hugh Masekela (8.33%)
  • Sibongile Khumalo (8.33%)
  • Bheki Mseleku (8.33%)
  • Nduduzo Makhathini (8.33%)
  • Thandiswa Mazwai (8.33%)
  • Tumi Mogorosi (8.33%)
  • Zim Ngqawana (8.33%)
  • Cape jazz (8.33%)
  • Bayete (8.33%)
  • Sakhile (8.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Abdullah Ibrahim ↗
Str: 81Inf: 1
Hugh Masekela ↗
Str: 36Inf: 1
Sibongile Khumalo ↗
Str: 4Inf: 1
Bheki Mseleku ↗
Str: 16Inf: 1
Nduduzo Makhathini ↗
Str: 9Inf: 1
Thandiswa Mazwai ↗
Str: 4Inf: 1
Tumi Mogorosi ↗
Str: 1Inf: 1
Zim Ngqawana ↗
Str: 9Inf: 1
Cape jazz ↗
Str: 81Inf: 1
Bayete ↗
Str: 1Inf: 1
Sakhile ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Sakhile ↗
Str: 1Inf: 1
Bayete ↗
Str: 1Inf: 1
Cape jazz ↗
Str: 81Inf: 1
Zim Ngqawana ↗
Str: 9Inf: 1
Tumi Mogorosi ↗
Str: 1Inf: 1
Thandiswa Mazwai ↗
Str: 4Inf: 1
Nduduzo Makhathini ↗
Str: 9Inf: 1
Bheki Mseleku ↗
Str: 16Inf: 1
Sibongile Khumalo ↗
Str: 4Inf: 1
Hugh Masekela ↗
Str: 36Inf: 1
Abdullah Ibrahim ↗
Str: 81Inf: 1

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

Outbound Tags (3)
Bayete
Cape jazz
Sakhile
Inbound Posts (3)
Bayete
Sakhile
Cape jazz
Last calculated: Sep 12, 12:06 AM
29

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Composers

  • Abdullah Ibrahim