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Temperance fountains
Drinking FountainDrinking Fountain, White Church LaneWine Fountain of Mileștii MiciDisused drinking fountainsUnidentified drinking fountainsWater flowing from drinking fountainsSebilsWhite Church Lane

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Gumti Water Fountain

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Related Images

Indoor drinking fountains
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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Faisalabad
    Faisalabad0.5 km away
  • 📍
    Faisalabad District0.7 km away
  • Thumbnail for Nusrat Fateh Ali Khan
    Nusrat Fateh Ali Khan5.9 km away
  • 📍
    Chak Jhumra19.2 km away
  • 📍
    Chak Jhumra Junction railway station19.5 km away

Network Profile

Overall Strength
i
0.76% of network
(1.9K)
Strength Breakdown
  • This Post (0.76%)
  • White Church Lane (3.03%)
  • Drinking Fountain, White Church Lane (3.03%)
  • Temperance fountains (0.76%)
  • Disused drinking fountains (0.76%)
  • Sebils (0.76%)
  • Unidentified drinking fountains (0.76%)
  • Water flowing from drinking fountains (0.76%)
  • Wine Fountain of Mileștii Mici (0.76%)
Dominant nodes (excluded from chart)
Drinking Fountain 88.64%
Influence Score
i
9.57% of network
(1.44)
Influence Breakdown
  • This Post (9.57%)
  • Drinking Fountain (13.83%)
  • White Church Lane (9.57%)
  • Drinking Fountain, White Church Lane (9.57%)
  • Temperance fountains (9.57%)
  • Disused drinking fountains (9.57%)
  • Sebils (9.57%)
  • Unidentified drinking fountains (9.57%)
  • Water flowing from drinking fountains (9.57%)
  • Wine Fountain of Mileștii Mici (9.57%)
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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 117 [Drinking Fountain] *
                            4 [White Church Lane] *
                            4 [Drinking Fountain, White Church Lane] *
                            1 [Temperance fountains] *
                            1 [Disused drinking fountains] *
                            1 [Sebils] *
                            1 [Unidentified drinking fountains] *
                            1 [Water flowing from drinking fountains] *
                            1 [Wine Fountain of Mileștii Mici]
                           )

                         = 1.9K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.44 [Drinking Fountain] *
                            1 [White Church Lane] *
                            1 [Drinking Fountain, White Church Lane] *
                            1 [Temperance fountains] *
                            1 [Disused drinking fountains] *
                            1 [Sebils] *
                            1 [Unidentified drinking fountains] *
                            1 [Water flowing from drinking fountains] *
                            1 [Wine Fountain of Mileștii Mici]
                           )

                         = 1.44
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 9 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.76% (1.9K overall)
  • This Post (0.76%)
  • White Church Lane (3.03%)
  • Drinking Fountain, White Church Lane (3.03%)
  • Temperance fountains (0.76%)
  • Disused drinking fountains (0.76%)
  • Sebils (0.76%)
  • Unidentified drinking fountains (0.76%)
  • Water flowing from drinking fountains (0.76%)
  • Wine Fountain of Mileștii Mici (0.76%)
Dominant nodes (excluded from chart)
Drinking Fountain 88.64%
Influence Share (vs Direct Neighbours)
9.57% (1.44 overall)
  • This Post (9.57%)
  • Drinking Fountain (13.83%)
  • White Church Lane (9.57%)
  • Drinking Fountain, White Church Lane (9.57%)
  • Temperance fountains (9.57%)
  • Disused drinking fountains (9.57%)
  • Sebils (9.57%)
  • Unidentified drinking fountains (9.57%)
  • Water flowing from drinking fountains (9.57%)
  • Wine Fountain of Mileștii Mici (9.57%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Drinking Fountain ↗
Str: 117Inf: 1.44
White Church Lane ↗
Str: 4Inf: 1
Drinking Fountain, White Church Lane ↗
Str: 4Inf: 1
Temperance fountains ↗
Str: 1Inf: 1
Disused drinking fountains ↗
Str: 1Inf: 1
Sebils ↗
Str: 1Inf: 1
Unidentified drinking fountains ↗
Str: 1Inf: 1
Water flowing from drinking fountains ↗
Str: 1Inf: 1
Wine Fountain of Mileștii Mici ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Wine Fountain of Mileștii Mici ↗
Str: 1Inf: 1
Water flowing from drinking fountains ↗
Str: 1Inf: 1
Unidentified drinking fountains ↗
Str: 1Inf: 1
Sebils ↗
Str: 1Inf: 1
Disused drinking fountains ↗
Str: 1Inf: 1
Temperance fountains ↗
Str: 1Inf: 1
Drinking Fountain, White Church Lane ↗
Str: 4Inf: 1
White Church Lane ↗
Str: 4Inf: 1
Drinking Fountain ↗
Str: 117Inf: 1.44

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

Outbound Tags (1)
Drinking Fountain
Inbound Posts (1)
Drinking Fountain
Last calculated: Oct 31, 5:50 AM
Punjab, Pakistan19

Related Content

Topics

  • Disused drinking fountains
  • Sebils
  • Unidentified drinking fountains
  • Water flowing from drinking fountains
  • White Church Lane
  • Wine Fountain of Mileștii Mici
  • Drinking Fountain, White Church Lane
  • Temperance fountains
  • Drinking Fountain

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