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Neeti MohanRomeo Akbar WalterRaanjhanaaSufiDelhii HeightsJab Tak Hai Jaan

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Analyzing Network Connections...

Network Profile

Overall Strength
i
68.97% of network
(120)
Strength Breakdown
  • This Post (68.97%)
  • Neeti Mohan (10.34%)
  • Jab Tak Hai Jaan (6.90%)
  • Sufi (3.45%)
  • Delhii Heights (3.45%)
  • Raanjhanaa (3.45%)
  • Romeo Akbar Walter (3.45%)
Influence Score
i
9.64% of network
(1.2)
Influence Breakdown
  • This Post (9.64%)
  • Neeti Mohan (36.14%)
  • Sufi (12.05%)
  • Delhii Heights (12.05%)
  • Raanjhanaa (12.05%)
  • Romeo Akbar Walter (12.05%)
  • Jab Tak Hai Jaan (6.02%)
Direct Connections 9

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, 4) = 4
$outbound = max(1, 5) = 5

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 5 = 20
Base_Influence (IV) = $inbound / $outbound = 4 / 5 = 0.8

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 20 *
                           ( 3 [Neeti Mohan] *
                            1 [Sufi] *
                            1 [Delhii Heights] *
                            1 [Raanjhanaa] *
                            1 [Romeo Akbar Walter] *
                            2 [Jab Tak Hai Jaan]
                           )

                         = 120

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.8 *
                           ( 3 [Neeti Mohan] *
                            1 [Sufi] *
                            1 [Delhii Heights] *
                            1 [Raanjhanaa] *
                            1 [Romeo Akbar Walter] *
                            0.5 [Jab Tak Hai Jaan]
                           )

                         = 1.2
Outbound 4 Tags on post
Inbound 5 Posts tagging this
Connections 6 Total nodes
Base Node Strength 20
Base Node Influence 0.8
Strength Share (vs Direct Neighbours)
68.97% (120 overall)
  • This Post (68.97%)
  • Neeti Mohan (10.34%)
  • Jab Tak Hai Jaan (6.90%)
  • Sufi (3.45%)
  • Delhii Heights (3.45%)
  • Raanjhanaa (3.45%)
  • Romeo Akbar Walter (3.45%)
Influence Share (vs Direct Neighbours)
9.64% (1.2 overall)
  • This Post (9.64%)
  • Neeti Mohan (36.14%)
  • Sufi (12.05%)
  • Delhii Heights (12.05%)
  • Raanjhanaa (12.05%)
  • Romeo Akbar Walter (12.05%)
  • Jab Tak Hai Jaan (6.02%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Neeti Mohan ↗
Str: 3Inf: 3
Sufi ↗
Str: 1Inf: 1
Delhii Heights ↗
Str: 1Inf: 1
Raanjhanaa ↗
Str: 1Inf: 1
Romeo Akbar Walter ↗
Str: 1Inf: 1
Jab Tak Hai Jaan ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Jab Tak Hai Jaan ↗
Str: 2Inf: 0.5
Romeo Akbar Walter ↗
Str: 1Inf: 1
Raanjhanaa ↗
Str: 1Inf: 1
Delhii Heights ↗
Str: 1Inf: 1
Sufi ↗
Str: 1Inf: 1
Neeti Mohan ↗
Str: 3Inf: 3

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

Outbound Tags (4)
Delhii Heights
Jab Tak Hai Jaan
Raanjhanaa
Romeo Akbar Walter
Inbound Posts (5)
Sufi
BROKEN LINK
Delhii Heights
Jab Tak Hai Jaan
Raanjhanaa
Romeo Akbar Walter
Last calculated: Jun 13, 4:26 AM
30

Related Content

Figures

  • Neeti Mohan

Topics

  • Sufi
  • Delhii Heights
  • Jab Tak Hai Jaan
  • Raanjhanaa
  • Romeo Akbar Walter