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Karan NambiarRohit BhattacharyaGuillotine KyodaiAkshat TanejaKabir MahajanTakar Nabam

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Guillotine

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Connected Musicians

  • Guillotine Kyodai
  • Takar Nabam

Analyzing Network Connections...

Network Profile

Overall Strength
i
81.08% of network
(60)
Strength Breakdown
  • This Post (81.08%)
  • Guillotine Kyodai (5.41%)
  • Akshat Taneja (2.70%)
  • Kabir Mahajan (2.70%)
  • Karan Nambiar (2.70%)
  • Rohit Bhattacharya (2.70%)
  • Takar Nabam (2.70%)
Influence Score
i
10.64% of network
(1.67)
Influence Breakdown
  • This Post (10.64%)
  • Guillotine Kyodai (25.53%)
  • Akshat Taneja (12.77%)
  • Kabir Mahajan (12.77%)
  • Karan Nambiar (12.77%)
  • Rohit Bhattacharya (12.77%)
  • Takar Nabam (12.77%)
Direct Connections 11

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, 5) = 5
$outbound = max(1, 6) = 6

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 6 = 30
Base_Influence (IV) = $inbound / $outbound = 5 / 6 = 0.8333

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 30 *
                           ( 2 [Guillotine Kyodai] *
                            1 [Akshat Taneja] *
                            1 [Kabir Mahajan] *
                            1 [Karan Nambiar] *
                            1 [Rohit Bhattacharya] *
                            1 [Takar Nabam]
                           )

                         = 60

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.8333 *
                           ( 2 [Guillotine Kyodai] *
                            1 [Akshat Taneja] *
                            1 [Kabir Mahajan] *
                            1 [Karan Nambiar] *
                            1 [Rohit Bhattacharya] *
                            1 [Takar Nabam]
                           )

                         = 1.67
Outbound 5 Tags on post
Inbound 6 Posts tagging this
Connections 6 Total nodes
Base Node Strength 30
Base Node Influence 0.8333
Strength Share (vs Direct Neighbours)
81.08% (60 overall)
  • This Post (81.08%)
  • Guillotine Kyodai (5.41%)
  • Akshat Taneja (2.70%)
  • Kabir Mahajan (2.70%)
  • Karan Nambiar (2.70%)
  • Rohit Bhattacharya (2.70%)
  • Takar Nabam (2.70%)
Influence Share (vs Direct Neighbours)
10.64% (1.67 overall)
  • This Post (10.64%)
  • Guillotine Kyodai (25.53%)
  • Akshat Taneja (12.77%)
  • Kabir Mahajan (12.77%)
  • Karan Nambiar (12.77%)
  • Rohit Bhattacharya (12.77%)
  • Takar Nabam (12.77%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Guillotine Kyodai ↗
Str: 2Inf: 2
Akshat Taneja ↗
Str: 1Inf: 1
Kabir Mahajan ↗
Str: 1Inf: 1
Karan Nambiar ↗
Str: 1Inf: 1
Rohit Bhattacharya ↗
Str: 1Inf: 1
Takar Nabam ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Takar Nabam ↗
Str: 1Inf: 1
Rohit Bhattacharya ↗
Str: 1Inf: 1
Karan Nambiar ↗
Str: 1Inf: 1
Kabir Mahajan ↗
Str: 1Inf: 1
Akshat Taneja ↗
Str: 1Inf: 1
Guillotine Kyodai ↗
Str: 2Inf: 2

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

Outbound Tags (5)
Akshat Taneja
Kabir Mahajan
Karan Nambiar
Rohit Bhattacharya
Takar Nabam
Inbound Posts (6)
Guillotine Kyodai
BROKEN LINK
Akshat Taneja
Kabir Mahajan
Karan Nambiar
Rohit Bhattacharya
Takar Nabam
Last calculated: Oct 30, 11:32 PM
4

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