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Solar cooling

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Analyzing Network Connections...

Network Profile

Overall Strength
i
3.54% of network
(9.4K)
Strength Breakdown
  • This Post (3.54%)
  • Solar chimneys (0.88%)
  • Solar heating (0.88%)
  • Archimedes heat ray (0.88%)
  • Solar drying (0.88%)
  • Solar thermal power plants (0.88%)
  • Sun heat collector (0.88%)
  • Cryoablation (0.88%)
  • Peltier elements (0.88%)
  • Steinbach and Vollmann (0.88%)
  • Yumomi (0.88%)
  • Kühldecke (0.88%)
Dominant nodes (excluded from chart)
Solar thermal energy 49.56%Cooling 37.17%
Influence Score
i
6.99% of network
(1.33)
Influence Breakdown
  • This Post (6.99%)
  • Cooling (8.15%)
  • Solar thermal energy (7.99%)
  • Solar chimneys (6.99%)
  • Solar heating (6.99%)
  • Archimedes heat ray (6.99%)
  • Solar drying (6.99%)
  • Solar thermal power plants (6.99%)
  • Sun heat collector (6.99%)
  • Cryoablation (6.99%)
  • Peltier elements (6.99%)
  • Steinbach and Vollmann (6.99%)
  • Yumomi (6.99%)
  • Kühldecke (6.99%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 42 [Cooling] *
                            56 [Solar thermal energy] *
                            1 [Solar chimneys] *
                            1 [Solar heating] *
                            1 [Archimedes heat ray] *
                            1 [Solar drying] *
                            1 [Solar thermal power plants] *
                            1 [Sun heat collector] *
                            1 [Cryoablation] *
                            1 [Peltier elements] *
                            1 [Steinbach and Vollmann] *
                            1 [Yumomi] *
                            1 [Kühldecke]
                           )

                         = 9.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.17 [Cooling] *
                            1.14 [Solar thermal energy] *
                            1 [Solar chimneys] *
                            1 [Solar heating] *
                            1 [Archimedes heat ray] *
                            1 [Solar drying] *
                            1 [Solar thermal power plants] *
                            1 [Sun heat collector] *
                            1 [Cryoablation] *
                            1 [Peltier elements] *
                            1 [Steinbach and Vollmann] *
                            1 [Yumomi] *
                            1 [Kühldecke]
                           )

                         = 1.33
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 13 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
3.54% (9.4K overall)
  • This Post (3.54%)
  • Solar chimneys (0.88%)
  • Solar heating (0.88%)
  • Archimedes heat ray (0.88%)
  • Solar drying (0.88%)
  • Solar thermal power plants (0.88%)
  • Sun heat collector (0.88%)
  • Cryoablation (0.88%)
  • Peltier elements (0.88%)
  • Steinbach and Vollmann (0.88%)
  • Yumomi (0.88%)
  • Kühldecke (0.88%)
Dominant nodes (excluded from chart)
Solar thermal energy 49.56%Cooling 37.17%
Influence Share (vs Direct Neighbours)
6.99% (1.33 overall)
  • This Post (6.99%)
  • Cooling (8.15%)
  • Solar thermal energy (7.99%)
  • Solar chimneys (6.99%)
  • Solar heating (6.99%)
  • Archimedes heat ray (6.99%)
  • Solar drying (6.99%)
  • Solar thermal power plants (6.99%)
  • Sun heat collector (6.99%)
  • Cryoablation (6.99%)
  • Peltier elements (6.99%)
  • Steinbach and Vollmann (6.99%)
  • Yumomi (6.99%)
  • Kühldecke (6.99%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Cooling ↗
Str: 42Inf: 1.17
Solar thermal energy ↗
Str: 56Inf: 1.14
Solar chimneys ↗
Str: 1Inf: 1
Solar heating ↗
Str: 1Inf: 1
Archimedes heat ray ↗
Str: 1Inf: 1
Solar drying ↗
Str: 1Inf: 1
Solar thermal power plants ↗
Str: 1Inf: 1
Sun heat collector ↗
Str: 1Inf: 1
Cryoablation ↗
Str: 1Inf: 1
Peltier elements ↗
Str: 1Inf: 1
Steinbach and Vollmann ↗
Str: 1Inf: 1
Yumomi ↗
Str: 1Inf: 1
Kühldecke ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Kühldecke ↗
Str: 1Inf: 1
Yumomi ↗
Str: 1Inf: 1
Steinbach and Vollmann ↗
Str: 1Inf: 1
Peltier elements ↗
Str: 1Inf: 1
Cryoablation ↗
Str: 1Inf: 1
Sun heat collector ↗
Str: 1Inf: 1
Solar thermal power plants ↗
Str: 1Inf: 1
Solar drying ↗
Str: 1Inf: 1
Archimedes heat ray ↗
Str: 1Inf: 1
Solar heating ↗
Str: 1Inf: 1
Solar chimneys ↗
Str: 1Inf: 1
Solar thermal energy ↗
Str: 56Inf: 1.14
Cooling ↗
Str: 42Inf: 1.17

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

Outbound Tags (2)
Cooling
Solar thermal energy
Inbound Posts (2)
Solar thermal energy
Cooling
Last calculated: Jun 17, 3:28 PM
13

Related Content

Topics

  • Sun heat collector
  • Cooling
  • Solar chimneys
  • Cryoablation
  • Solar thermal energy
  • Peltier elements
  • Solar heating
  • Steinbach and Vollmann
  • Archimedes heat ray
  • Yumomi
  • Solar drying
  • Kühldecke
  • Solar thermal power plants