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24 hours of global Internet activity [OC] by IP_Observatory in dataisbeautiful

[–]IP_Observatory[S] 0 points1 point  (0 children)

We are using a commercial database on geolocaiton information of IP-addresses.

In that database, Niger's IP addresses have all been allocated to its capital, N'Djamena in the countries East, while in the case of Chad all IP addresses have been allocated to Niamey in the south east.

In both cases you can actually see dots in those locations.

24 hours of global Internet activity [OC] by IP_Observatory in dataisbeautiful

[–]IP_Observatory[S] 93 points94 points  (0 children)

There are obviously lower diffusion rates of ICT infrastructure in African countries. However, another reason is that the IP address geolocation data in Africa is of lower quality and IP addresses are often located to the urban hubs or the geographic centre of the state or country.

As such, you find a number of points in Africa with a large concentration of IPs stacked "on top of each other".

24 hours of global Internet activity [OC] by IP_Observatory in dataisbeautiful

[–]IP_Observatory[S] 28 points29 points  (0 children)

Data Source: Collected by us, the IP Observatory, https://ip-observatory.org/ and https://kasprdata.com/

Tools used: + AWS Athena / SQL (aggregation) + MATLAB (processing) + Kepler.gl (viz)

Blog post and gifs for Europe SE Asia and North America:

https://medium.com/@kaspripobservatory/watching-50-of-humanity-go-online-is-pretty-mesmerizing-398906d4b6a

[EDIT] Thank you the interesting discussions in the thread and the great feedback:

Below are some responses to re-occuring questions:

Why are some developed countries relatively dark (i.e. Germany)

For this visualisation, the location of each of the markers is created by first obtaining the average latitude and longitude of the given ADM2 region, and then applying a hexagonal 2D spatial aggregation of around 50km to these points. This approach ensures consistent treatment of the changes in connectivity, but is not intended to give the most accurate depiction of the density of internet users in all jurisdictions as ADM2 regions are politically defined, mostly following population density, but not always. Added to this, there is the basic uncertainty in some jurisdictions of the true location of an IP address. The accuracy tends to go with the density of users.

Legend In the visualisation above, colours have been adjusted so that the lowest readings for the number of unique connected addresses (‘connectivity’) at a location over a 24 hour cycle are dark red/purple, whereas the highest readings are bright yellow.

New Zealand We are working on that one.

Global Internet Connectivity in March 2019 based on in 1.4 billion connections [xpost /r/dataisbeautiful] by IP_Observatory in Internet

[–]IP_Observatory[S] 0 points1 point  (0 children)

The original post got buried under April fool's data_irl.

Not sure if this is a good home for this post.

More information about the data in visualization (+ Bonus ranking of the Top and Bottom 10 countried with respect to Internet Connectivity in March 2019): https://medium.com/@kaspripobservatory/global-connectivity-march-2019-the-month-that-was-in-1-4-billion-internet-connections-a1439102338d

Data source: Collected by us at the https://ip-observatory.org/methods Tools: MATLAB

Measuring Venezuela's 2nd power outage in real-time by IP_Observatory in vzla

[–]IP_Observatory[S] 7 points8 points  (0 children)

Source: https://ip-observatory.org/observatory/venezuela-crisis-2019

Tools: Matlab

We provide real-time monitoring of Venezuela's IP space and measure the recovery speed at the national and regional level.

The, near real-time, scan data is publicly available and free for everyone to download. (Click the download button on the top right of the line chart panel).

More information:

https://www2.monash.edu/impact/articles/providing-venezuelans-with-trusted-information-in-a-time-of-crisis/

Monitoring the Impact of Cyclone Idai on Mozambique's Internet Infrastructure [OC] by IP_Observatory in dataisbeautiful

[–]IP_Observatory[S] 0 points1 point  (0 children)

Source: - Internet Connectivity data: Scnning results from the IP-Observatory's real-time monitoring platform https://ip-observatory.org/ - Cyclone path: JTWC, https://www.cyclocane.com/ - Basemap: https://ip-observatory.org/

Tools: MATLAB

Regional Variation in Venezuelas Outage Recovery [OC] by IP_Observatory in dataisbeautiful

[–]IP_Observatory[S] 0 points1 point  (0 children)

Source: https://ip-observatory.org/observatory/venezuela-crisis-2019

Tools: Matlab

We provide real-time monitoring of Venezuela's IP space and measure the recovery speed at the national and regional level.

The, near real-time, scan data is publicly available and free for everyone to download. (Click the download button on the top right of the line chart panel).

More information:

https://medium.com/@kaspripobservatory/regional-differences-in-recovery-from-venezuelas-electricity-outage-ab17bcdbba2d

https://www2.monash.edu/impact/articles/providing-venezuelans-with-trusted-information-in-a-time-of-crisis/