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anti-agingAnti-aging movementCellular RejuvenationsingularityNikola Danaylov

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Analyzing Network Connections...

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Nearest Locations

  • 📍
    GooglePlex0.1 km away
  • 📍
    NASA Ames Research Center2.3 km away
  • 📍
    Shockley Semiconductor Laboratory3.1 km away
  • 📍
    Moffett Field3.3 km away
  • Thumbnail for Coverflow
    Coverflow3.7 km away

Network Profile

Overall Strength
i
26.67% of network
(64)
Strength Breakdown
  • This Post (26.67%)
  • Nikola Danaylov (26.67%)
  • anti-aging (26.67%)
  • singularity (6.67%)
  • Anti-aging movement (6.67%)
  • Cellular Rejuvenation (6.67%)
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • singularity (16.67%)
  • Nikola Danaylov (16.67%)
  • anti-aging (16.67%)
  • Anti-aging movement (16.67%)
  • Cellular Rejuvenation (16.67%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 1 [singularity] *
                            4 [Nikola Danaylov] *
                            4 [anti-aging] *
                            1 [Anti-aging movement] *
                            1 [Cellular Rejuvenation]
                           )

                         = 64

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [singularity] *
                            1 [Nikola Danaylov] *
                            1 [anti-aging] *
                            1 [Anti-aging movement] *
                            1 [Cellular Rejuvenation]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 5 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
26.67% (64 overall)
  • This Post (26.67%)
  • Nikola Danaylov (26.67%)
  • anti-aging (26.67%)
  • singularity (6.67%)
  • Anti-aging movement (6.67%)
  • Cellular Rejuvenation (6.67%)
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • singularity (16.67%)
  • Nikola Danaylov (16.67%)
  • anti-aging (16.67%)
  • Anti-aging movement (16.67%)
  • Cellular Rejuvenation (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
singularity ↗
Str: 1Inf: 1
Nikola Danaylov ↗
Str: 4Inf: 1
anti-aging ↗
Str: 4Inf: 1
Anti-aging movement ↗
Str: 1Inf: 1
Cellular Rejuvenation ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Cellular Rejuvenation ↗
Str: 1Inf: 1
Anti-aging movement ↗
Str: 1Inf: 1
anti-aging ↗
Str: 4Inf: 1
Nikola Danaylov ↗
Str: 4Inf: 1
singularity ↗
Str: 1Inf: 1

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

Outbound Tags (2)
anti-aging
BROKEN LINK
singularity
BROKEN LINK
Inbound Posts (2)
No other posts link to this one yet.
Last calculated: Jul 26, 3:29 AM
Mountain View, Santa Clara County, United States18

Related Content

Topics

  • singularity
  • Nikola Danaylov
  • anti-aging
  • Anti-aging movement
  • Cellular Rejuvenation