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ÚjlipótvárosGergely Győző utcaVisegrádi utcaBudai Nagy Antal utcaLehel tér

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Szent István körút

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Related Images

Ruttkai Éva park

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Visegrádi utca0.2 km away
  • 📍
    Margaret Bridge0.6 km away
  • 📍
    Újlipótváros0.8 km away
  • 📍
    Szabadság tér0.8 km away
  • 📍
    Living Memorial0.8 km away

Network Profile

Overall Strength
i
2.27% of network
(384)
Strength Breakdown
  • This Post (2.27%)
  • Budai Nagy Antal utca (2.27%)
  • Gergely Győző utca (2.27%)
  • Visegrádi utca (2.27%)
Dominant nodes (excluded from chart)
Újlipótváros 54.55%Lehel tér 36.36%
Influence Score
i
15.38% of network
(1.5)
Influence Breakdown
  • This Post (15.38%)
  • Újlipótváros (23.08%)
  • Budai Nagy Antal utca (15.38%)
  • Gergely Győző utca (15.38%)
  • Lehel tér (15.38%)
  • Visegrádi utca (15.38%)
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 *
                           ( 24 [Újlipótváros] *
                            1 [Budai Nagy Antal utca] *
                            1 [Gergely Győző utca] *
                            16 [Lehel tér] *
                            1 [Visegrádi utca]
                           )

                         = 384

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.5 [Újlipótváros] *
                            1 [Budai Nagy Antal utca] *
                            1 [Gergely Győző utca] *
                            1 [Lehel tér] *
                            1 [Visegrádi utca]
                           )

                         = 1.5
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)
2.27% (384 overall)
  • This Post (2.27%)
  • Budai Nagy Antal utca (2.27%)
  • Gergely Győző utca (2.27%)
  • Visegrádi utca (2.27%)
Dominant nodes (excluded from chart)
Újlipótváros 54.55%Lehel tér 36.36%
Influence Share (vs Direct Neighbours)
15.38% (1.5 overall)
  • This Post (15.38%)
  • Újlipótváros (23.08%)
  • Budai Nagy Antal utca (15.38%)
  • Gergely Győző utca (15.38%)
  • Lehel tér (15.38%)
  • Visegrádi utca (15.38%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Újlipótváros ↗
Str: 24Inf: 1.5
Budai Nagy Antal utca ↗
Str: 1Inf: 1
Gergely Győző utca ↗
Str: 1Inf: 1
Lehel tér ↗
Str: 16Inf: 1
Visegrádi utca ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Visegrádi utca ↗
Str: 1Inf: 1
Lehel tér ↗
Str: 16Inf: 1
Gergely Győző utca ↗
Str: 1Inf: 1
Budai Nagy Antal utca ↗
Str: 1Inf: 1
Újlipótváros ↗
Str: 24Inf: 1.5

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

Outbound Tags (1)
Újlipótváros
BROKEN LINK
Inbound Posts (1)
No other posts link to this one yet.
Last calculated: Oct 4, 8:38 AM
Budapest, Budapest, Hungary12

Related Content

Locations

  • Újlipótváros

Topics

  • Gergely Győző utca
  • Lehel tér
  • Visegrádi utca
  • Budai Nagy Antal utca

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