Instagram Without Likes
https://www.theguardian.com/technology/2019/nov/15/instagram-likes-influencers-social-media In this new social-media fueled generation, being “Instagram famous” has become more and more elusive. The allure of easy money from paid sponsorships and a glamorous life has all risen from a relatively simple app. People can post pictures, acquire likes, and gather a following. Those who are popular on Instagram are called “influencers”. […]
Understanding Physician Network Dynamics
https://www2.deloitte.com/us/en/insights/industry/health-care/physician-networking-for-performance-improvement-in-health-care.html Receiving goods and services at a low cost is something everyone can get behind. As such, one key component of health care is to optimize cost while maintaining, or even improving, quality. Interestingly, studying the structure of physician networks may provide insight on how health care costs can be brought down. A physician network […]
How Businesses Cater to the Long Tail
https://miloszkrasinski.com/the-long-tail-effect-theory-in-practise-explained/ This article talks about the long tail effect and how businesses can economically benefit from catering to the long tail. Chris Anderson, who popularized a theory about the long tail effect, theorized that consumers in the modern economy are increasingly shifting away from a smaller number of popular “hit” products (the head) and towards […]
The power of social influencers
https://socialmediaweek.org/blog/2017/05/social-media-influencing-purchase-decisions/ The resource is talking about the Social Media’s impact on the business, society and culture. And I am particularly interested in the part which talks about the social influencers on social media. Coined to represent individuals who have a significant following on social media, the social influencers are one of the most important target […]
The Rise of Social Media
https://ourworldindata.org/rise-of-social-media This data-heavy article revolves around how popular social media sites and applications, such as Twitter, Instagram, and Facebook, rose in popularity. Facebook, the largest social media platform in the world, currently has over 2 billion users. Other social media platforms, including YouTube, Instagram, and WhatsApp, have more than 1 billion users each. In […]
The Popularity of Cockney Rhyming Slang
https://www.stuffyoushouldknow.com/podcasts/cockney-rhyming-slang-beautiful-gibberish.htm This podcast talks about all things related to Cockney rhyming slang to how it originated. Cockney rhyming slang is a slang that originated in 1840s London that makes sentences sound seemingly nonsensical. For example, the phrase “let’s get this bread” where bread actually means money is an example that comes from rhyming money with honey, which […]
Rich Get Richer in Social Media
https://phys.org/news/2007-04-rich-richer.html In this class, we discussed the rich get richer phenomenon, which when interpreted with regards to money, says that those who already have a lot of money usually get richer, and people with not a lot of money to begin with will have a harder time gaining more money. This can be evident […]
Rich-get-Richer but Richer-also-get-Richer effect in Social Media
Network effects such as information cascades, and Rich-get-richer situations happen quite often in social media. This post will elaborate on the influence of social media in the world today, based on network effects. Social media has connected the world, and provided a platform to communicate ideas and opinions, however it has turned into something negative. […]
Bayesian Models in Collaborative Filtering
In its most basic form, Bayes Rule describes the probability of an event based on prior beliefs or knowledge related to the event. This is intricately linked to the concept of conditional probability and the science of machine learning – applying the core ideas of probability to large datasets. Bayesian methods combine data with existing […]
Information Cascades and Revolutions, Riots
https://voxeu.org/article/riots-and-revolutions-digital-age The authors of this article (Ellis and Fender) explain how they used information cascades to explain how a political regime change occurs or how the threat of revolution forms. For instance, Ellis and Fender found that workers choose to rebel or not based on other workers’ decisions and the state that the regime is […]
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