Bitcoin Transaction Network
Article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914786/ The article strives to investigate the movement of money, specifically regarding the ‘rich-get-richer’ phenomenon and essentially, confirming this scheme through empirical analysis of the Bitcoin Transaction Network. While there exists an abundance of financial data available for research, much of the information on everyday monetary transactions is limited and kept private. Thus, the […]
Blog post #3 on Power Law
“Power Law in Popular Media” by Michael Tauberg: https://medium.com/@michaeltauberg/power-law-in-popular-media-7d7efef3fb7c This article talks about the phenomenon of power law in real life. The author made an analogy to describe power law and its long tail: power law is like a forest, there are tall trees that soak up the sun and grow to be enormous; then there […]
Fyre Festival Failure and the Strength of Celebrity Endorsements
Link: https://www.complex.com/music/2019/11/ja-rule-legally-cleared-in-fyre-festival-lawsuit This article discusses the ruling which recently came out for the case against rapper Ja Rule (Jeffery Atkins) involving a failed music festival, Fyre Festival, back in 2017. Fyre Festival was a fraudulent luxury music festival, for which attendees paid thousands of dollars to attend. The festival was endorsed by many high-profile […]
Information Cascade in Fantasy Sports Drafting
In the midst of fantasy football season, I, like many others, am wondering where my fantasy football team went wrong. I felt very confident in my team going into the season, and yet I am firmly entrenched as an average team this year. Many teams that face this same dilemma can have issues traced back […]
Application of Bayes’ Rule in Neural Nets
https://iknowfirst.com/the-application-of-bayes-theorem-to-deep-learning The article discusses the basics of neural nets and how Bayes’ rule can be integrated into such a process. In the traditional neural net, the first step is normally to devise a function to quantify loss. This loss function is typically based on the accuracy of the predicted outputs compared with actual sample data. […]
Reddit Popularity, and Power Laws
31 Jaw-Dropping Reddit Statistics For Marketers in 2019 https://dashboard.laterforreddit.com/analysis/ Reddit seems to be commonly overlooked in social media analyses, as classes like Networks discuss Facebook, YouTube, and Instagram more frequently. Reddit is unique in that it has many individual subreddits that act as their own networks. These individual networks have their own ties […]
Why Facebook Won: Network Effects.
According to Statista, there are only six companies in the US with a market valuation of over half a trillion dollars, and among the other tech giants like Google (Alphabet), Amazon and Apple, one name cannot be left unsaid—Facebook. Facebook, founded in just 2004 and having opened its doors to the public barely 15 years […]
Facebook and the Anti-Vaccination Movement
This article describes the rise of anti-vaccination groups on Facebook, which corresponds to a current outbreak of measles, a disease that had been previously eradicated in the US since 2000 because of the corresponding vaccine. The spread of false information and propaganda regarding the anti-vaccination movement is rampant throughout Facebook. Articles containing false or misleading […]
Arresting irrational information cascades
https://www.overcomingbias.com/2012/10/arresting-irrational-information-cascades.html In Robert Wilbin’s Arresting irrational information cascades, he begins by introducing Aumann’s Agreement Theorem which states: …two people acting rationally (in a certain precise sense) and with common knowledge of each other’s beliefs cannot agree to disagree. More specifically, if two people are genuine Bayesian rationalists with common priors, and if they […]
Rich-get-richer in Career Advancement
https://www.bloombergquint.com/gadfly/career-setbacks-can-help-your-performance-but-hurt-your-pay The rich get richer phenomenon is no foreign concept within our culture. In the article “Career Setbacks Can Help Your Career, But Hurt Your Pay,” by Faye Flam, Flam concludes that the rich get richer effect is particularly relevant to career advancement. Flam claims that while rejections and “near misses” can hurt in […]
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