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Kasuya Research Forest, Kyushu University

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Kasuya Research Forest0.0 km away
  • 📍
    Kyushu University Hospital9.0 km away
  • Thumbnail for Fukuoka
    Fukuoka10.9 km away
  • 📍
    Kyus27.1 km away
  • 📍
    Kyushu University27.1 km away

Network Profile

Overall Strength
i
13.85% of network
(6K)
Strength Breakdown
  • This Post (13.85%)
  • Kyushu University (6.15%)
  • Kasuya Research Forest (6.15%)
  • Foucault pendulum in Kyushu University (1.54%)
  • Kyushu University campus (1.54%)
  • Kyushu University Hospital (1.54%)
  • People associated with Kyushu University (1.54%)
  • Statues in Kyushu University (1.54%)
  • Kamata Pond (1.54%)
Dominant nodes (excluded from chart)
Kyus 64.62%
Influence Score
i
9.84% of network
(1.17)
Influence Breakdown
  • This Post (9.84%)
  • Kyus (11.48%)
  • Foucault pendulum in Kyushu University (9.84%)
  • Kyushu University (9.84%)
  • Kyushu University campus (9.84%)
  • Kyushu University Hospital (9.84%)
  • People associated with Kyushu University (9.84%)
  • Statues in Kyushu University (9.84%)
  • Kasuya Research Forest (9.84%)
  • Kamata Pond (9.84%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 42 [Kyus] *
                            1 [Foucault pendulum in Kyushu University] *
                            4 [Kyushu University] *
                            1 [Kyushu University campus] *
                            1 [Kyushu University Hospital] *
                            1 [People associated with Kyushu University] *
                            1 [Statues in Kyushu University] *
                            4 [Kasuya Research Forest] *
                            1 [Kamata Pond]
                           )

                         = 6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.17 [Kyus] *
                            1 [Foucault pendulum in Kyushu University] *
                            1 [Kyushu University] *
                            1 [Kyushu University campus] *
                            1 [Kyushu University Hospital] *
                            1 [People associated with Kyushu University] *
                            1 [Statues in Kyushu University] *
                            1 [Kasuya Research Forest] *
                            1 [Kamata Pond]
                           )

                         = 1.17
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 9 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
13.85% (6K overall)
  • This Post (13.85%)
  • Kyushu University (6.15%)
  • Kasuya Research Forest (6.15%)
  • Foucault pendulum in Kyushu University (1.54%)
  • Kyushu University campus (1.54%)
  • Kyushu University Hospital (1.54%)
  • People associated with Kyushu University (1.54%)
  • Statues in Kyushu University (1.54%)
  • Kamata Pond (1.54%)
Dominant nodes (excluded from chart)
Kyus 64.62%
Influence Share (vs Direct Neighbours)
9.84% (1.17 overall)
  • This Post (9.84%)
  • Kyus (11.48%)
  • Foucault pendulum in Kyushu University (9.84%)
  • Kyushu University (9.84%)
  • Kyushu University campus (9.84%)
  • Kyushu University Hospital (9.84%)
  • People associated with Kyushu University (9.84%)
  • Statues in Kyushu University (9.84%)
  • Kasuya Research Forest (9.84%)
  • Kamata Pond (9.84%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Kyus ↗
Str: 42Inf: 1.17
Foucault pendulum in Kyushu University ↗
Str: 1Inf: 1
Kyushu University ↗
Str: 4Inf: 1
Kyushu University campus ↗
Str: 1Inf: 1
Kyushu University Hospital ↗
Str: 1Inf: 1
People associated with Kyushu University ↗
Str: 1Inf: 1
Statues in Kyushu University ↗
Str: 1Inf: 1
Kasuya Research Forest ↗
Str: 4Inf: 1
Kamata Pond ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Kamata Pond ↗
Str: 1Inf: 1
Kasuya Research Forest ↗
Str: 4Inf: 1
Statues in Kyushu University ↗
Str: 1Inf: 1
People associated with Kyushu University ↗
Str: 1Inf: 1
Kyushu University Hospital ↗
Str: 1Inf: 1
Kyushu University campus ↗
Str: 1Inf: 1
Kyushu University ↗
Str: 4Inf: 1
Foucault pendulum in Kyushu University ↗
Str: 1Inf: 1
Kyus ↗
Str: 42Inf: 1.17

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

Outbound Tags (3)
Kasuya Research Forest
BROKEN LINK
Kyus
BROKEN LINK
Kyushu University
BROKEN LINK
Inbound Posts (3)
No other posts link to this one yet.
Last calculated: Sep 19, 7:21 PM
Sasaguri, Kasuya County, Japan10

Related Content

Locations

  • Kyus

Topics

  • Kyushu University Hospital
  • People associated with Kyushu University
  • Statues in Kyushu University
  • Kasuya Research Forest
  • Kamata Pond
  • Foucault pendulum in Kyushu University
  • Kyushu University
  • Kyushu University campus