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Liu FangUnidentified locations in KunmingCounty-level divisions of KunmingKunmingAnimals of Kunming

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Tourism in Kunming

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Connected Bands/Artists

  • Kunming

Connected Musicians

  • Animals of Kunming
  • County-level divisions of Kunming
  • Liu Fang
  • Unidentified locations in Kunming

Analyzing Network Connections...

Network Profile

Overall Strength
i
3.03% of network
(100)
Strength Breakdown
  • This Post (3.03%)
  • Liu Fang (12.12%)
  • Unidentified locations in Kunming (3.03%)
  • Animals of Kunming (3.03%)
  • County-level divisions of Kunming (3.03%)
Dominant nodes (excluded from chart)
Kunming 75.76%
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Liu Fang (16.67%)
  • Kunming (16.67%)
  • Unidentified locations in Kunming (16.67%)
  • Animals of Kunming (16.67%)
  • County-level divisions of Kunming (16.67%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 4 [Liu Fang] *
                            25 [Kunming] *
                            1 [Unidentified locations in Kunming] *
                            1 [Animals of Kunming] *
                            1 [County-level divisions of Kunming]
                           )

                         = 100

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Liu Fang] *
                            1 [Kunming] *
                            1 [Unidentified locations in Kunming] *
                            1 [Animals of Kunming] *
                            1 [County-level divisions of Kunming]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
3.03% (100 overall)
  • This Post (3.03%)
  • Liu Fang (12.12%)
  • Unidentified locations in Kunming (3.03%)
  • Animals of Kunming (3.03%)
  • County-level divisions of Kunming (3.03%)
Dominant nodes (excluded from chart)
Kunming 75.76%
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • Liu Fang (16.67%)
  • Kunming (16.67%)
  • Unidentified locations in Kunming (16.67%)
  • Animals of Kunming (16.67%)
  • County-level divisions of Kunming (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Liu Fang ↗
Str: 4Inf: 1
Kunming ↗
Str: 25Inf: 1
Unidentified locations in Kunming ↗
Str: 1Inf: 1
Animals of Kunming ↗
Str: 1Inf: 1
County-level divisions of Kunming ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
County-level divisions of Kunming ↗
Str: 1Inf: 1
Animals of Kunming ↗
Str: 1Inf: 1
Unidentified locations in Kunming ↗
Str: 1Inf: 1
Kunming ↗
Str: 25Inf: 1
Liu Fang ↗
Str: 4Inf: 1

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

Outbound Tags (1)
Kunming
Inbound Posts (1)
Kunming
Last calculated: Sep 26, 12:49 PM
18

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