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clare hazell
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P Diddy
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Connected Musicians

  • P Diddy

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.40% of network
(876.1K)
Strength Breakdown
  • This Post (0.40%)
  • jeffrey epstein (68.15%)
  • clare hazell (14.52%)
  • rachel chandler (14.52%)
  • Tom Guinness (1.61%)
  • WALTER PEARCE (0.40%)
  • P Diddy (0.40%)
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • clare hazell (14.29%)
  • Tom Guinness (14.29%)
  • jeffrey epstein (14.29%)
  • rachel chandler (14.29%)
  • WALTER PEARCE (14.29%)
  • P Diddy (14.29%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 36 [clare hazell] *
                            4 [Tom Guinness] *
                            169 [jeffrey epstein] *
                            36 [rachel chandler] *
                            1 [WALTER PEARCE] *
                            1 [P Diddy]
                           )

                         = 876.1K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [clare hazell] *
                            1 [Tom Guinness] *
                            1 [jeffrey epstein] *
                            1 [rachel chandler] *
                            1 [WALTER PEARCE] *
                            1 [P Diddy]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.40% (876.1K overall)
  • This Post (0.40%)
  • jeffrey epstein (68.15%)
  • clare hazell (14.52%)
  • rachel chandler (14.52%)
  • Tom Guinness (1.61%)
  • WALTER PEARCE (0.40%)
  • P Diddy (0.40%)
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • clare hazell (14.29%)
  • Tom Guinness (14.29%)
  • jeffrey epstein (14.29%)
  • rachel chandler (14.29%)
  • WALTER PEARCE (14.29%)
  • P Diddy (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
clare hazell ↗
Str: 36Inf: 1
Tom Guinness ↗
Str: 4Inf: 1
jeffrey epstein ↗
Str: 169Inf: 1
rachel chandler ↗
Str: 36Inf: 1
WALTER PEARCE ↗
Str: 1Inf: 1
P Diddy ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
P Diddy ↗
Str: 1Inf: 1
WALTER PEARCE ↗
Str: 1Inf: 1
rachel chandler ↗
Str: 36Inf: 1
jeffrey epstein ↗
Str: 169Inf: 1
Tom Guinness ↗
Str: 4Inf: 1
clare hazell ↗
Str: 36Inf: 1

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

Outbound Tags (1)
rachel chandler
Inbound Posts (1)
rachel chandler
Last calculated: Jun 26, 9:54 PM
New York, New York County, United States44

Related Content

Figures

  • clare hazell
  • Tom Guinness
  • jeffrey epstein
  • rachel chandler
  • WALTER PEARCE