The Working of Google’s $150 Billion Advertising Business – CPCs
When talking about Alphabet’s revenues, it is key to understand that more than 80% of it comes from Google ads, which generated $147 billion in revenue last year. Google has led the market when it comes to online advertising through the use of ad tech tools that allow content makers to generate money through advertising […]
Wikipedia – an unreliable source
“Wikipedia is not a reliable source” is a phrase we have all heard at least once in our lives. Even courts, such as the one referred to in the Washington Post Article, have rejected relying on Wikipedia as primary source for research. What is so unreliable about wikipedia though? The answer lies in an analysis […]
Information Cascades in Dogecoin
David Rosen Networks Mr. Easley and Mr. Halpern Due 11/5/21 Dogecoin – The Rise and Fall With the recent surge in the crypto-currency market in the past few years, many different coins have emerged in an effort to spark the same popularity and power as Bitcoin. But what makes these forms of currency […]
Stable Roommates Problem — Forming groups in Final Projects
In class, we talked about perfect matching and some related scenarios, including stable marriage. We probably will not see Stable Marriage matching in real life. There are many other matching problems and some of them are common in real life or at least their applications are things we will really encounter. As this semester comes […]
Base Rate Fallacy and Predicting Charitableness
Bayes’ Theorem is an equation that represents the likelihood of something happening using prior evidence. It is one of the most important probability models. In the equation, P(A|B) = P(B|A)P(A) / P(B), one finds the conditional probability that A happens if B already happened. P(A|B) is the “posterior,” P(B|A) is the “likelihood,” P(A) is the […]
Network Effects on Online Platforms‘ Popularity
Didi became the world’s largest ride-sharing company in 2016 after merging its domestic rival in China and pushing Uber out of the Chinese market. Its number of users has been dramatically increasing over the recent years, while there are a few new competitors developed by some other leading Internet companies in China. Under the tough […]
Conditional/Bayesian Probabilties and Covid 19
COVID tests, like all other medical tests aren’t always accurate. It is possible to have false positives and false negatives that invalidate the produced results. A test may yield some probability identifying someone as positive when they really do not have COVID and another probability of identifying someone as negative when they really do have […]
Network and Market Effects Influence on Tesla Growth and Stock
Tesla is a company that is well known for its loud headliners and fantastical technological claims. But just as often, other companies make similarly emphatic headlines and boast about technological advancements that seem just as exaggerated. So why does Tesla appear to be the most visible and volatile, even in context of its Silicon Valley […]
Digital Retail Investor IPOs and Network Effects
Network effects are undoubtedly powerful contributors to the success of social platforms and other models that benefit from increasing their user population, but with such prominence in the public consciousness they seem to spawn their own growth just by virtue of existing. Today, the dominating product of the market is often “hype”. In less […]
Information Cascades and the Financial Crisis
Information Cascades is defined broadly as basing your decisions solely based on other people’s decisions. Another theory that is closely related to information cascades is herd theory, where people will follow the crowd despite their own thought processes. This idea can be applied in a plethora of other situations, where people base their decisions […]
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