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Hármashatárhegy

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Related Images

Hármashatár-hegy
Óbuda hegyvidéke
Csúcshegy
Békásmegyer

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Hármashatár-hegy
    Hármashatár-hegy0.3 km away
  • Thumbnail for Óbuda hegyvidéke
    Óbuda hegyvidéke1.3 km away
  • 📍
    Vörös-kővár1.9 km away
  • Thumbnail for Csúcshegy
    Csúcshegy2.1 km away
  • 📍
    Óbuda2.4 km away

Network Profile

Overall Strength
i
5.83% of network
(314.9K)
Strength Breakdown
  • This Post (5.83%)
  • Kaszásdűlő (26.21%)
  • Csillaghegy (8.74%)
  • Óbuda Island (3.88%)
  • Tábor Hill (0.97%)
  • Óbuda University (0.97%)
  • Péter-hegy (0.97%)
Dominant nodes (excluded from chart)
Óbuda 52.43%
Influence Score
i
13.64% of network
(6.75)
Influence Breakdown
  • This Post (13.64%)
  • Kaszásdűlő (27.27%)
  • Óbuda (13.64%)
  • Tábor Hill (9.09%)
  • Óbuda Island (9.09%)
  • Óbuda University (9.09%)
  • Csillaghegy (9.09%)
  • Péter-hegy (9.09%)
Direct Connections 5

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 6 *
                           ( 27 [Kaszásdűlő] *
                            54 [Óbuda] *
                            1 [Tábor Hill] *
                            4 [Óbuda Island] *
                            1 [Óbuda University] *
                            9 [Csillaghegy] *
                            1 [Péter-hegy]
                           )

                         = 314.9K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1.5 *
                           ( 3 [Kaszásdűlő] *
                            1.5 [Óbuda] *
                            1 [Tábor Hill] *
                            1 [Óbuda Island] *
                            1 [Óbuda University] *
                            1 [Csillaghegy] *
                            1 [Péter-hegy]
                           )

                         = 6.75
Outbound 3 Tags on post
Inbound 2 Posts tagging this
Connections 7 Total nodes
Base Node Strength 6
Base Node Influence 1.5
Strength Share (vs Direct Neighbours)
5.83% (314.9K overall)
  • This Post (5.83%)
  • Kaszásdűlő (26.21%)
  • Csillaghegy (8.74%)
  • Óbuda Island (3.88%)
  • Tábor Hill (0.97%)
  • Óbuda University (0.97%)
  • Péter-hegy (0.97%)
Dominant nodes (excluded from chart)
Óbuda 52.43%
Influence Share (vs Direct Neighbours)
13.64% (6.75 overall)
  • This Post (13.64%)
  • Kaszásdűlő (27.27%)
  • Óbuda (13.64%)
  • Tábor Hill (9.09%)
  • Óbuda Island (9.09%)
  • Óbuda University (9.09%)
  • Csillaghegy (9.09%)
  • Péter-hegy (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Kaszásdűlő ↗
Str: 27Inf: 3
Óbuda ↗
Str: 54Inf: 1.5
Tábor Hill ↗
Str: 1Inf: 1
Óbuda Island ↗
Str: 4Inf: 1
Óbuda University ↗
Str: 1Inf: 1
Csillaghegy ↗
Str: 9Inf: 1
Péter-hegy ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Péter-hegy ↗
Str: 1Inf: 1
Csillaghegy ↗
Str: 9Inf: 1
Óbuda University ↗
Str: 1Inf: 1
Óbuda Island ↗
Str: 4Inf: 1
Tábor Hill ↗
Str: 1Inf: 1
Óbuda ↗
Str: 54Inf: 1.5
Kaszásdűlő ↗
Str: 27Inf: 3

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

Outbound Tags (3)
Óbuda
Hármashatár-hegy
BROKEN LINK
Tábor Hill
Inbound Posts (2)
Óbuda
Tábor Hill
Last calculated: Jul 9, 6:43 PM
42

Related Content

Figures

  • Péter-hegy

Locations

  • Csillaghegy
  • Kaszásdűlő
  • Óbuda
  • Tábor Hill
  • Óbuda Island
  • Óbuda University