How to Build Your Business Using Network Effects
A Forbes article I came across discusses how you can use network effects to make your business more successful, as well as build your customer base. In class, we studied Network Effects, which is that the value a user receives from a product is the number of users who use that product. Therefore, businesses want […]
How Network Effects and Asymmetric Information Markets Lead Us to Give Away Personal Data
Despite growing concern and increased awareness over protection of personal information, there is a rise in the amount of information we are giving out to companies. Privacy concerns are not a new issue, and yet after all these years we have made limited progress on further protections for individual personal information. Social media platforms such […]
AirTag vs Tile
Apple recently released their “AirTag” tracking device. It is similar to a tile, which was previously a very popular item. The way these items work is that they connect via bluetooth to either an apple device or a device with the tile app, respectively, to track the item. In class, we learned that when one […]
Weighted, Directed, Multilayer Diffusion Networks
So far, we have studied diffusion in fairly simple graphs. In these graphs, all edges are bidirectional and all edges represent the exact same type of connection or interaction between nodes. However, real life is much more complex and we need to develop more advanced machinery to study it. We will add complexity to our […]
You can’t see the votes: how Reddit reduces information cascade
We all love Reddit for various reasons — it has an active user base, it’s got an app with a great user experience, and you can pretty much find any topic you want — but I am always surprised by how well it is maintained as an online platform. Typically, online media and platforms are […]
Cancel Culture’s Impact of the Stability of Companies.
2020 saw the labeling of “Cancel Culture.” Cancel a culture is a form of ostracism in which someone is pushed out of social or professional environments due to something this person said that is considered offensive. The act of canceling has been around for a while, but we only recently saw a name for it. […]
How Neural Networks Keep Your Email Imbox Clean
Spam emails, everyone gets them and nobody likes them. However, this age-old nuisance of the internet appears to be on its way to an early retirement. In the year 2016, spam emails made up almost 60% of all email traffic on the internet, yet in only four years, its prevalence has dropped to 28.5% (https://www.statista.com/statistics/420400/spam-email-traffic-share-annual/). […]
Information Cascade in Social Media and the Mechanisms of Prediction Model
In the discussion of information cascade, we learned that it is a phenomenon that has the potential to occur when people are trying to make decisions sequentially, with signals from people before them, for example by watching the actions of earlier people, reading the comments from previous buyers, and searching the review for previous movies. […]
Naive Bayes in Machine Learning
One of the simplest and fastest machine learning algorithms is based on the Naive Bayes equation. In a supervised classification task, we are given training data, each with features x1, x2,…xi, and its corresponding label, Y. Then, we must assign a new label to previously unseen data. For example, in spam classification, our features could […]
Information Cascades with Stocks and Financial Markets (with applications to lecture references)
An information cascade occurs when individuals make decisions one after the other based only on some limited observable information, with no direct verbal communications between each other. We often model this with a series of individuals that sequentially need to make a decision to accept or reject something (a bet, a purchase, an action). While […]
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