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Southern Anatolian montane conifer and deciduous forestsMontane ecologyMeghalaya subtropical forests ecoregionTropical montane forestPyrenees conifer and mixed forestsApennine deciduous montane forestsCarpathian montane forestsSubalpine zone

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Cardamom Mountains rain forests

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Related Images

Montane grasslands and shrublands

Analyzing Network Connections...

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Nearest Locations

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    Trat94.6 km away
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    Battambang127.4 km away
  • 📍
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    Preah Sihanouk149.7 km away
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    Sihanoukville149.7 km away

Network Profile

Overall Strength
i
1.14% of network
(80)
Strength Breakdown
  • This Post (1.14%)
  • Southern Anatolian montane conifer and deciduous forests (1.14%)
  • Apennine deciduous montane forests (1.14%)
  • Carpathian montane forests (1.14%)
  • Meghalaya subtropical forests ecoregion (1.14%)
  • Pyrenees conifer and mixed forests (1.14%)
  • Subalpine zone (1.14%)
  • Tropical montane forest (1.14%)
Dominant nodes (excluded from chart)
Montane ecology 90.91%
Influence Score
i
10.81% of network
(1.25)
Influence Breakdown
  • This Post (10.81%)
  • Montane ecology (13.51%)
  • Southern Anatolian montane conifer and deciduous forests (10.81%)
  • Apennine deciduous montane forests (10.81%)
  • Carpathian montane forests (10.81%)
  • Meghalaya subtropical forests ecoregion (10.81%)
  • Pyrenees conifer and mixed forests (10.81%)
  • Subalpine zone (10.81%)
  • Tropical montane forest (10.81%)
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 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 80 [Montane ecology] *
                            1 [Southern Anatolian montane conifer and deciduous forests] *
                            1 [Apennine deciduous montane forests] *
                            1 [Carpathian montane forests] *
                            1 [Meghalaya subtropical forests ecoregion] *
                            1 [Pyrenees conifer and mixed forests] *
                            1 [Subalpine zone] *
                            1 [Tropical montane forest]
                           )

                         = 80

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.25 [Montane ecology] *
                            1 [Southern Anatolian montane conifer and deciduous forests] *
                            1 [Apennine deciduous montane forests] *
                            1 [Carpathian montane forests] *
                            1 [Meghalaya subtropical forests ecoregion] *
                            1 [Pyrenees conifer and mixed forests] *
                            1 [Subalpine zone] *
                            1 [Tropical montane forest]
                           )

                         = 1.25
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 8 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.14% (80 overall)
  • This Post (1.14%)
  • Southern Anatolian montane conifer and deciduous forests (1.14%)
  • Apennine deciduous montane forests (1.14%)
  • Carpathian montane forests (1.14%)
  • Meghalaya subtropical forests ecoregion (1.14%)
  • Pyrenees conifer and mixed forests (1.14%)
  • Subalpine zone (1.14%)
  • Tropical montane forest (1.14%)
Dominant nodes (excluded from chart)
Montane ecology 90.91%
Influence Share (vs Direct Neighbours)
10.81% (1.25 overall)
  • This Post (10.81%)
  • Montane ecology (13.51%)
  • Southern Anatolian montane conifer and deciduous forests (10.81%)
  • Apennine deciduous montane forests (10.81%)
  • Carpathian montane forests (10.81%)
  • Meghalaya subtropical forests ecoregion (10.81%)
  • Pyrenees conifer and mixed forests (10.81%)
  • Subalpine zone (10.81%)
  • Tropical montane forest (10.81%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Montane ecology ↗
Str: 80Inf: 1.25
Southern Anatolian montane conifer and deciduous forests ↗
Str: 1Inf: 1
Apennine deciduous montane forests ↗
Str: 1Inf: 1
Carpathian montane forests ↗
Str: 1Inf: 1
Meghalaya subtropical forests ecoregion ↗
Str: 1Inf: 1
Pyrenees conifer and mixed forests ↗
Str: 1Inf: 1
Subalpine zone ↗
Str: 1Inf: 1
Tropical montane forest ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tropical montane forest ↗
Str: 1Inf: 1
Subalpine zone ↗
Str: 1Inf: 1
Pyrenees conifer and mixed forests ↗
Str: 1Inf: 1
Meghalaya subtropical forests ecoregion ↗
Str: 1Inf: 1
Carpathian montane forests ↗
Str: 1Inf: 1
Apennine deciduous montane forests ↗
Str: 1Inf: 1
Southern Anatolian montane conifer and deciduous forests ↗
Str: 1Inf: 1
Montane ecology ↗
Str: 80Inf: 1.25

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

Outbound Tags (1)
Montane ecology
Inbound Posts (1)
Montane ecology
Last calculated: Jun 13, 5:06 AM
Thma Bang, Cambodia16

Related Content

Topics

  • Apennine deciduous montane forests
  • Carpathian montane forests
  • Meghalaya subtropical forests ecoregion
  • Pyrenees conifer and mixed forests
  • Subalpine zone
  • Tropical montane forest
  • Southern Anatolian montane conifer and deciduous forests
  • Montane ecology