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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Queen Victoria statue0.1 km away
  • Thumbnail for Bristol Hippodrome
    Bristol Hippodrome0.2 km away
  • 📍
    Colston Hall0.3 km away
  • Thumbnail for University of Bristol
    University of Bristol0.4 km away
  • 📍
    university-of-bristol0.4 km away

Network Profile

Overall Strength
i
8.33% of network
(9)
Strength Breakdown
  • This Post (8.33%)
  • jealousy-in-art (75.00%)
  • Minerva and Jealousy (8.33%)
  • Uwanari (8.33%)
Influence Score
i
25.00% of network
(1)
Influence Breakdown
  • This Post (25.00%)
  • jealousy-in-art (25.00%)
  • Minerva and Jealousy (25.00%)
  • Uwanari (25.00%)
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 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 9 [jealousy-in-art] *
                            1 [Minerva and Jealousy] *
                            1 [Uwanari]
                           )

                         = 9

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [jealousy-in-art] *
                            1 [Minerva and Jealousy] *
                            1 [Uwanari]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 3 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
8.33% (9 overall)
  • This Post (8.33%)
  • jealousy-in-art (75.00%)
  • Minerva and Jealousy (8.33%)
  • Uwanari (8.33%)
Influence Share (vs Direct Neighbours)
25.00% (1 overall)
  • This Post (25.00%)
  • jealousy-in-art (25.00%)
  • Minerva and Jealousy (25.00%)
  • Uwanari (25.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
jealousy-in-art ↗
Str: 9Inf: 1
Minerva and Jealousy ↗
Str: 1Inf: 1
Uwanari ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Uwanari ↗
Str: 1Inf: 1
Minerva and Jealousy ↗
Str: 1Inf: 1
jealousy-in-art ↗
Str: 9Inf: 1

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

Outbound Tags (1)
jealousy-in-art
Inbound Posts (1)
jealousy-in-art
Last calculated: Jun 13, 9:35 PM
Bristol, City of Bristol, United Kingdom15

Related Content

Topics

  • jealousy-in-art
  • Minerva and Jealousy
  • Uwanari