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Districts of MizoramVantawng waterfallSerchhip districtTuirihiau waterfallSerchhipKhawlailung

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Mizoram
    Mizoram4.9 km away
  • 📍
    Tourism in Mizoram4.9 km away
  • 📍
    Serchhip district7.7 km away
  • 📍
    Serchhip8.9 km away
  • 📍
    Tuirihiau waterfall18.6 km away

Network Profile

Overall Strength
i
0.90% of network
(2.5K)
Strength Breakdown
  • This Post (0.90%)
  • Khawlailung (0.90%)
  • Serchhip (0.90%)
  • Tuirihiau waterfall (0.90%)
  • Vantawng waterfall (0.90%)
Dominant nodes (excluded from chart)
Districts of Mizoram 63.06%Serchhip district 32.43%
Influence Score
i
13.46% of network
(1.43)
Influence Breakdown
  • This Post (13.46%)
  • Districts of Mizoram (19.23%)
  • Serchhip district (13.46%)
  • Khawlailung (13.46%)
  • Serchhip (13.46%)
  • Tuirihiau waterfall (13.46%)
  • Vantawng waterfall (13.46%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 70 [Districts of Mizoram] *
                            36 [Serchhip district] *
                            1 [Khawlailung] *
                            1 [Serchhip] *
                            1 [Tuirihiau waterfall] *
                            1 [Vantawng waterfall]
                           )

                         = 2.5K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.43 [Districts of Mizoram] *
                            1 [Serchhip district] *
                            1 [Khawlailung] *
                            1 [Serchhip] *
                            1 [Tuirihiau waterfall] *
                            1 [Vantawng waterfall]
                           )

                         = 1.43
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.90% (2.5K overall)
  • This Post (0.90%)
  • Khawlailung (0.90%)
  • Serchhip (0.90%)
  • Tuirihiau waterfall (0.90%)
  • Vantawng waterfall (0.90%)
Dominant nodes (excluded from chart)
Districts of Mizoram 63.06%Serchhip district 32.43%
Influence Share (vs Direct Neighbours)
13.46% (1.43 overall)
  • This Post (13.46%)
  • Districts of Mizoram (19.23%)
  • Serchhip district (13.46%)
  • Khawlailung (13.46%)
  • Serchhip (13.46%)
  • Tuirihiau waterfall (13.46%)
  • Vantawng waterfall (13.46%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Districts of Mizoram ↗
Str: 70Inf: 1.43
Serchhip district ↗
Str: 36Inf: 1
Khawlailung ↗
Str: 1Inf: 1
Serchhip ↗
Str: 1Inf: 1
Tuirihiau waterfall ↗
Str: 1Inf: 1
Vantawng waterfall ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Vantawng waterfall ↗
Str: 1Inf: 1
Tuirihiau waterfall ↗
Str: 1Inf: 1
Serchhip ↗
Str: 1Inf: 1
Khawlailung ↗
Str: 1Inf: 1
Serchhip district ↗
Str: 36Inf: 1
Districts of Mizoram ↗
Str: 70Inf: 1.43

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

Outbound Tags (1)
Serchhip district
Inbound Posts (1)
Serchhip district
Last calculated: Oct 26, 7:39 AM
Serchhip, India22

Related Content

Topics

  • Khawlailung
  • Serchhip
  • Tuirihiau waterfall
  • Vantawng waterfall
  • Districts of Mizoram
  • Serchhip district

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