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Miriam Stockley
15th-century pursesIPurseAlms purses19th-century pursesCoin pursesPink pursesPurse shops18th-century pursesBorsetta

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Connected Bands/Artists

  • Alms purses
  • Borsetta

Connected Musicians

  • 15th-century purses
  • 16th-century purses
  • 18th-century purses
  • 19th-century purses
  • Chancellor's purse
  • Coin purses
  • IPurse
  • Miriam Stockley
    Miriam Stockley band photo
  • Pink purses
  • Purse shops

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.39% of network
(57.6K)
Strength Breakdown
  • This Post (0.39%)
  • Alms purses (1.55%)
  • 16th-century purses (0.39%)
  • Coin purses (0.39%)
  • IPurse (0.39%)
  • Pink purses (0.39%)
  • Purse shops (0.39%)
  • 15th-century purses (0.39%)
  • 18th-century purses (0.39%)
  • 19th-century purses (0.39%)
  • Chancellor's purse (0.39%)
Dominant nodes (excluded from chart)
Borsetta 55.81%Miriam Stockley 38.76%
Influence Score
i
7.69% of network
(1)
Influence Breakdown
  • This Post (7.69%)
  • Miriam Stockley (7.69%)
  • Borsetta (7.69%)
  • 16th-century purses (7.69%)
  • Alms purses (7.69%)
  • Coin purses (7.69%)
  • IPurse (7.69%)
  • Pink purses (7.69%)
  • Purse shops (7.69%)
  • 15th-century purses (7.69%)
  • 18th-century purses (7.69%)
  • 19th-century purses (7.69%)
  • Chancellor's purse (7.69%)
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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 100 [Miriam Stockley] *
                            144 [Borsetta] *
                            1 [16th-century purses] *
                            4 [Alms purses] *
                            1 [Coin purses] *
                            1 [IPurse] *
                            1 [Pink purses] *
                            1 [Purse shops] *
                            1 [15th-century purses] *
                            1 [18th-century purses] *
                            1 [19th-century purses] *
                            1 [Chancellor's purse]
                           )

                         = 57.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Miriam Stockley] *
                            1 [Borsetta] *
                            1 [16th-century purses] *
                            1 [Alms purses] *
                            1 [Coin purses] *
                            1 [IPurse] *
                            1 [Pink purses] *
                            1 [Purse shops] *
                            1 [15th-century purses] *
                            1 [18th-century purses] *
                            1 [19th-century purses] *
                            1 [Chancellor's purse]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 12 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.39% (57.6K overall)
  • This Post (0.39%)
  • Alms purses (1.55%)
  • 16th-century purses (0.39%)
  • Coin purses (0.39%)
  • IPurse (0.39%)
  • Pink purses (0.39%)
  • Purse shops (0.39%)
  • 15th-century purses (0.39%)
  • 18th-century purses (0.39%)
  • 19th-century purses (0.39%)
  • Chancellor's purse (0.39%)
Dominant nodes (excluded from chart)
Borsetta 55.81%Miriam Stockley 38.76%
Influence Share (vs Direct Neighbours)
7.69% (1 overall)
  • This Post (7.69%)
  • Miriam Stockley (7.69%)
  • Borsetta (7.69%)
  • 16th-century purses (7.69%)
  • Alms purses (7.69%)
  • Coin purses (7.69%)
  • IPurse (7.69%)
  • Pink purses (7.69%)
  • Purse shops (7.69%)
  • 15th-century purses (7.69%)
  • 18th-century purses (7.69%)
  • 19th-century purses (7.69%)
  • Chancellor's purse (7.69%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Miriam Stockley ↗
Str: 100Inf: 1
Borsetta ↗
Str: 144Inf: 1
16th-century purses ↗
Str: 1Inf: 1
Alms purses ↗
Str: 4Inf: 1
Coin purses ↗
Str: 1Inf: 1
IPurse ↗
Str: 1Inf: 1
Pink purses ↗
Str: 1Inf: 1
Purse shops ↗
Str: 1Inf: 1
15th-century purses ↗
Str: 1Inf: 1
18th-century purses ↗
Str: 1Inf: 1
19th-century purses ↗
Str: 1Inf: 1
Chancellor's purse ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Chancellor's purse ↗
Str: 1Inf: 1
19th-century purses ↗
Str: 1Inf: 1
18th-century purses ↗
Str: 1Inf: 1
15th-century purses ↗
Str: 1Inf: 1
Purse shops ↗
Str: 1Inf: 1
Pink purses ↗
Str: 1Inf: 1
IPurse ↗
Str: 1Inf: 1
Coin purses ↗
Str: 1Inf: 1
Alms purses ↗
Str: 4Inf: 1
16th-century purses ↗
Str: 1Inf: 1
Borsetta ↗
Str: 144Inf: 1
Miriam Stockley ↗
Str: 100Inf: 1

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

Outbound Tags (1)
Borsetta
Inbound Posts (1)
Borsetta
Last calculated: Jun 17, 5:45 PM
29

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