Uber and Doordash Fail to Meet Network Effect Expectations
This article discusses how companies such as Uber and Doordash, that offer ride-sharing or food delivery, have failed to dominate the market as expected. It especially notes how during the pandemic, Uber suffered greatly as many people were no longer in need of rides. On the other hand, Doordash flourished as many more people were […]
A “Position Paradox” in Sponsored Search Auctions
Linked resource found here. This article analyzes the data set of a popular Korean search engine firm to prove the “position paradox” where a superior firm bids lower than an inferior firm to obtain position below it while still getting more clicks than it. Their findings show that a large proportion of auction outcomes from […]
Social influence of hubs in information cascade processes
Article link The “social influence” factor is important to consider in the information cascade process. In class, we discussed how an information cascade is an example of sequential decision making in which people decide to either use or reject their private information when they are privy to the decisions of others. However, our models in […]
When do network effects harm consumers? Network-based platforms and antitrust concerns.
Many of today’s most dominant tech companies benefit from network effects. As more people use Amazon, the company gets more data into user behavior that informs more powerful recommendation algorithms and gives insight into competitors for Amazon’s own products. Farronato’s article’s discussion about the benefit that companies like Amazon get from network effects adds nuance […]
Consequences of Information Cascades in Social Media
This Video Will Make You Angry – YouTube In this video, the author CPG Grey (Grey) talks about the nature of information spreading and why some forms of information spread more quickly and why. He particularly sites emotional responses as the most affective methods, anger being the most potent. Any person who has a more […]
Bayes Rule and Cascades
https://www.linkedin.com/pulse/marketers-why-you-should-learn-bayes-rule-sarah/ In this article, Sarah Lewis describes the property of Bayes rule and its importance to Growth Marketing Hypothesis. She starts off by explaining the basic equation of P(A |B)=((P(A and B)xP(A))/P(B). This means the probability of event A given event B is equal to the probability of event A and B times the probability […]
Cascades and Bomb Threats: Student Panic in the Wake of Violence
Disclaimer: I recognize that I am looking at this event with hindsight on my side, and realize that the situation is far more complicated than I make it out to be. I am simply comparing my experiences and the articles I have read online to our class. This Sunday, students on Cornell’s Ithaca campus were […]
The Devotion of Suspect X | How Bayes’ Rule and Decision-Making involving our life
As speculative fiction, The Devotion of Suspect X incorporates many knowledge about networks, mathematics, and probability theory into the plot design. As mentioned in the article, a discussion about the problem of P vs. NP comes up in Ishigami and Yukawa’s communication. It seems theoretically possible for a problem to be in P but not […]
Dating Apps, Stocks, and Network Effects
Deciding what to invest in often proves difficult, especially in the tech field. Oftentimes, stock options are not entirely settled when first entering the market, and take a while to reach that state of equilibrium where stockholders can feel secure in their investment. Dating apps are, of course, no exception to this rule, and can […]
Bitcoin’s Reliance on Network Effects
To buy or not to buy, that is the question. As Bitcoin increases in value, some question why it is even worth anything. No country uses it as a national currency, and it is not accepted everywhere; so, why does it seem like Bitcoin is the currency of the future? The answer is simple: network […]
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