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Kansai region
Nara prefectureMieHyōgo prefectureKyoto metropolitan area

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Osaka prefecture

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Related Images

Firefighting in Osaka prefecture
Buses in Kinki region
Kansai dialects
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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.32% of network
(6.34M)
Strength Breakdown
  • This Post (0.32%)
  • Hyōgo prefecture (46.30%)
  • Nara prefecture (35.37%)
  • Kansai region (16.08%)
  • Kyoto metropolitan area (1.29%)
  • Mie (0.64%)
Influence Score
i
12.35% of network
(4.4)
Influence Breakdown
  • This Post (12.35%)
  • Mie (24.69%)
  • Kansai region (24.69%)
  • Nara prefecture (13.58%)
  • Hyōgo prefecture (12.35%)
  • Kyoto metropolitan area (12.35%)
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 *
                           ( 2 [Mie] *
                            50 [Kansai region] *
                            110 [Nara prefecture] *
                            144 [Hyōgo prefecture] *
                            4 [Kyoto metropolitan area]
                           )

                         = 6.34M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Mie] *
                            2 [Kansai region] *
                            1.1 [Nara prefecture] *
                            1 [Hyōgo prefecture] *
                            1 [Kyoto metropolitan area]
                           )

                         = 4.4
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)
0.32% (6.34M overall)
  • This Post (0.32%)
  • Hyōgo prefecture (46.30%)
  • Nara prefecture (35.37%)
  • Kansai region (16.08%)
  • Kyoto metropolitan area (1.29%)
  • Mie (0.64%)
Influence Share (vs Direct Neighbours)
12.35% (4.4 overall)
  • This Post (12.35%)
  • Mie (24.69%)
  • Kansai region (24.69%)
  • Nara prefecture (13.58%)
  • Hyōgo prefecture (12.35%)
  • Kyoto metropolitan area (12.35%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Mie ↗
Str: 2Inf: 2
Kansai region ↗
Str: 50Inf: 2
Nara prefecture ↗
Str: 110Inf: 1.1
Hyōgo prefecture ↗
Str: 144Inf: 1
Kyoto metropolitan area ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Kyoto metropolitan area ↗
Str: 4Inf: 1
Hyōgo prefecture ↗
Str: 144Inf: 1
Nara prefecture ↗
Str: 110Inf: 1.1
Kansai region ↗
Str: 50Inf: 2
Mie ↗
Str: 2Inf: 2

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

Outbound Tags (1)
Kansai region
Inbound Posts (1)
Kansai region
Last calculated: Jun 18, 8:09 PM
Mie County, Japan20

Related Content

Locations

  • Nara prefecture
  • Kansai region
  • Hyōgo prefecture
  • Kyoto metropolitan area

Regionals

  • Mie