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Can the 170k #gamestop tweets from Jan 25th-29th gives us an insight into the ensuing market chaos?

The ensuing impact of Elon Musk’s now famous ‘Gamestonk!!’ tweet over time | Skanda Vivek

On Jan 26th at 4:08 PM EST, Elon Musk tweeted “Gamestonk!!” in reference to the “wallstreetbets” Reddit page, which now has over 9 million subscribers. Interestingly, this was just a few minutes after the stock market closed, one has to wonder if Musk timed this. The following day, Gamestop stock (NYSE: GME) jumped 2.5x. We know how the stock market reacted to Musk, the data is out there. Just google NYSE: GME and you will see the day to day changes in Gamestop stocks.

Our increasingly connected world makes us more vulnerable to disruption. But if we play it right, it can also make us stronger.

We must do our utmost to stop COVID-19, the healthcare worker tells you. It’s the usual speech: masks are a must to keep the virus at bay. Keep your distance from people; avoid unnecessary contact. Don’t be foolhardy after vaccines; they don’t make you invincible — but you should definitely still take them.

Sanitizers are provided at every corner, to keep you clean at all times. Mask dispensers are available whenever you need them; mask dustbins for when you don’t. Alternate seats are marked as such, so you remember not to sit. Payments have gone digital; temperature-scanners contactless. Want to…

Let’s use data to reveal the truth…

Texas electrical power reliance | ERCOT

The day after Valentine’s day, Texas was less than 5 minutes from a black start — an indefinite blackout that could have lasted months. Thankfully this did not happen, but the 2021 Texas power crisis was a disaster, resulting in 70 people dead, and almost $200 billion in damages, making it the costliest disaster in Texas history. So what really happened?

Nice article! I've also recently encountered the lack of python packages for large scale graph visualization..NetworkX is my bread and butter for network analysis, but it is not build for visualization; igraph seems good but it is also new to python, not much documentation

Awesome Aleksa! I'm thinking: how is it possible for a human to be this good at grasping knowledge so quickly, and then I read how humble and aware you are about relative vs absolute knowledge... Very inspiring to continue trucking on and sharing knowledge for the greater good!

With more than 500 million tweets sent each day, is it possible to track social movement patterns?

Greater New York City metropolitan area | NASA

Twitter is an impressive data source, and tweets have so much information about societal sentiments. In fact, some work has shown that aggregated tweet data can be used as a metric of societal happiness! With a short character limit, and wide prevalence, Twitter sounds like the perfect combination for a true reflection of society’s thoughts.

Apart from the text aspect, tweets can also contain important location information. Certain users agree to share their tweet locations with Twitter. This adds potentially another layer of information. …

Does my original blog count as peer-reviewed? Why a paradigm shift from traditional science publishing is desperately needed

Sir Isaac Newton’s Philosophiæ naturalis principia mathematica | EDUARDO PARRA/GETTY IMAGES

This is my article:

And here is the article citing it, published in the Elsevier Data in Brief journal:

If you notice, my article develops a methodology to extract real-time traffic flow. The Elsevier article goes through much of the same methodology, and applies it to 10 cities during COVID lockdown.

Oh and another tiny difference… Medium pays royalties, whereas the Elsevier Data in Brief journal comes for a small publishing fee of 700$ — yes that’s right the author or whoever funds the authors need to pay!

Hopefully this caused you to raise an eyebrow. But it wasn’t always…

Four years ago, frustrated by waiting for hours for an experiment, I wrote a poem on science, randomness, and frustration.

Perfect Randomness | Dan Page for Quanta Magazine

The experimentalist awaits,
locked up in his glass cage,
what wonders he may behold,
when this bold dispatch into the
unknown, becomes known.

The numbers go by quick,
but the clock is slow to tick,
3000, when will I reach 3000
he rants to himself, surely
there is no one else.

By now the lab is cold,
and there is no-one,
who tells my experiment what to do, he asks,
It cannot be mere randomness
there has to be something else,
If not… someone else,
or am I just alone?

Minutes pass by,
every minute he rushes to his beloved,
most wonderous…

Mobility is the Life-line of Cities. Let’s visualize DC during the curfew following today’s unfortunate chaos using the HERE traffic flow/incidents API.

Traffic Flow and Incidents in DC. Graph created in Kepler.gl | Skanda Vivek

Unfortunately, today’s riots resulted in chaos and loss of life. Many data providers are giving free access to real-time detailed information, which can be extremely useful for responders and citizens to react to sudden incidents like we saw today. Let’s delve a bit into the potential for quantifying real-time incident and flow data using one such API.

Google Maps is great when it comes to figuring out which route to take that minimizes your trip time. However, for the data enthusiast, it doesn’t give access to this traffic information. TomTom, Waze, HERE are all providers of real-time traffic information. Personally…

Skanda Vivek

Scientist at the interface of complex systems, and the social good. I write for self-discovery and you, dear reader. Work featured across Forbes, BBC, ...

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