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Valladolid

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Related Images

Objects in Córdoba, Spain
Paintings in Cáceres, Spain
Santiago de Compostela
Seville
Pamplona
Photographs of Córdoba, Spain
Art in Valladolid
Valencia
Córdoba
Murcia
Art in Córdoba, Spain
Plaza de Santa Brígida, Valladolid
Zaragoza
Mérida
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Society of Spain
Oviedo
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Vitoria-Gasteiz
Logroño
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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Rotonda de los Holas5.0 km away
  • 📍
    Battle of Simancas7.9 km away
  • 📍
    Palacio Real Testamentario38.1 km away
  • 📍
    Crypt of San Antolín, Cathedral of Palencia46.2 km away
  • 📍
    Crypt of San Antolín46.2 km away

Network Profile

Overall Strength
i
0.37% of network
(518.4K)
Strength Breakdown
  • This Post (0.37%)
  • BILBAO (3.36%)
  • Córdoba (1.49%)
  • Logroño (0.75%)
  • Seville (0.75%)
  • Barcelona (0.37%)
  • Murcia (0.37%)
  • Oviedo (0.37%)
  • Pamplona (0.37%)
  • Santiago de Compostela (0.37%)
  • Valencia (0.37%)
  • Vitoria-Gasteiz (0.37%)
  • Zaragoza (0.37%)
  • Caliphate of Córdoba (0.37%)
Dominant nodes (excluded from chart)
Spain 83.96%Mérida 5.97%
Influence Score
i
5.56% of network
(4)
Influence Breakdown
  • This Post (5.56%)
  • Logroño (11.11%)
  • Seville (11.11%)
  • Spain (5.56%)
  • BILBAO (5.56%)
  • Córdoba (5.56%)
  • Barcelona (5.56%)
  • Mérida (5.56%)
  • Murcia (5.56%)
  • Oviedo (5.56%)
  • Pamplona (5.56%)
  • Santiago de Compostela (5.56%)
  • Valencia (5.56%)
  • Vitoria-Gasteiz (5.56%)
  • Zaragoza (5.56%)
  • Caliphate of Córdoba (5.56%)
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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 2 [Logroño] *
                            2 [Seville] *
                            225 [Spain] *
                            9 [BILBAO] *
                            4 [Córdoba] *
                            1 [Barcelona] *
                            16 [Mérida] *
                            1 [Murcia] *
                            1 [Oviedo] *
                            1 [Pamplona] *
                            1 [Santiago de Compostela] *
                            1 [Valencia] *
                            1 [Vitoria-Gasteiz] *
                            1 [Zaragoza] *
                            1 [Caliphate of Córdoba]
                           )

                         = 518.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Logroño] *
                            2 [Seville] *
                            1 [Spain] *
                            1 [BILBAO] *
                            1 [Córdoba] *
                            1 [Barcelona] *
                            1 [Mérida] *
                            1 [Murcia] *
                            1 [Oviedo] *
                            1 [Pamplona] *
                            1 [Santiago de Compostela] *
                            1 [Valencia] *
                            1 [Vitoria-Gasteiz] *
                            1 [Zaragoza] *
                            1 [Caliphate of Córdoba]
                           )

                         = 4
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 15 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.37% (518.4K overall)
  • This Post (0.37%)
  • BILBAO (3.36%)
  • Córdoba (1.49%)
  • Logroño (0.75%)
  • Seville (0.75%)
  • Barcelona (0.37%)
  • Murcia (0.37%)
  • Oviedo (0.37%)
  • Pamplona (0.37%)
  • Santiago de Compostela (0.37%)
  • Valencia (0.37%)
  • Vitoria-Gasteiz (0.37%)
  • Zaragoza (0.37%)
  • Caliphate of Córdoba (0.37%)
Dominant nodes (excluded from chart)
Spain 83.96%Mérida 5.97%
Influence Share (vs Direct Neighbours)
5.56% (4 overall)
  • This Post (5.56%)
  • Logroño (11.11%)
  • Seville (11.11%)
  • Spain (5.56%)
  • BILBAO (5.56%)
  • Córdoba (5.56%)
  • Barcelona (5.56%)
  • Mérida (5.56%)
  • Murcia (5.56%)
  • Oviedo (5.56%)
  • Pamplona (5.56%)
  • Santiago de Compostela (5.56%)
  • Valencia (5.56%)
  • Vitoria-Gasteiz (5.56%)
  • Zaragoza (5.56%)
  • Caliphate of Córdoba (5.56%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Logroño ↗
Str: 2Inf: 2
Seville ↗
Str: 2Inf: 2
Spain ↗
Str: 225Inf: 1
BILBAO ↗
Str: 9Inf: 1
Córdoba ↗
Str: 4Inf: 1
Barcelona ↗
Str: 1Inf: 1
Mérida ↗
Str: 16Inf: 1
Murcia ↗
Str: 1Inf: 1
Oviedo ↗
Str: 1Inf: 1
Pamplona ↗
Str: 1Inf: 1
Santiago de Compostela ↗
Str: 1Inf: 1
Valencia ↗
Str: 1Inf: 1
Vitoria-Gasteiz ↗
Str: 1Inf: 1
Zaragoza ↗
Str: 1Inf: 1
Caliphate of Córdoba ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Caliphate of Córdoba ↗
Str: 1Inf: 1
Zaragoza ↗
Str: 1Inf: 1
Vitoria-Gasteiz ↗
Str: 1Inf: 1
Valencia ↗
Str: 1Inf: 1
Santiago de Compostela ↗
Str: 1Inf: 1
Pamplona ↗
Str: 1Inf: 1
Oviedo ↗
Str: 1Inf: 1
Murcia ↗
Str: 1Inf: 1
Mérida ↗
Str: 16Inf: 1
Barcelona ↗
Str: 1Inf: 1
Córdoba ↗
Str: 4Inf: 1
BILBAO ↗
Str: 9Inf: 1
Spain ↗
Str: 225Inf: 1
Seville ↗
Str: 2Inf: 2
Logroño ↗
Str: 2Inf: 2

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

Outbound Tags (1)
spain
Inbound Posts (1)
Spain
Last calculated: Jul 30, 6:42 PM
Valladolid, Castile and León, Spain35

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