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Information Cascade at Group Scale

In this paper, the authors aim at locate the most “influential groups” in stead of individuals in a network to trigger network diffusion. They firstly propose a fine-grained model of information diffusion for the group-based problem, and then show that the process is submodular and present an algorithm to determine the influential groups under this […]

Network Effects and the Popularity of Facebook

Is Facebook likely to become another Friendster in the future, still around but almost forgotten? This New York Times article argues that Facebook will not. It claims that Facebook’s social network no longer resembles a “young, hip downtown nightclub scene—one day a site is hot, the next it’s not”, because Facebook was able to attract […]

Big Data and Bayes Theorem: How ‘Big Data” is an inescapable force that is shaping the future

Link to the article: The article starts of by talking about the process of securing a loan. Nowadays, applications and approvals are all done online. Computers now have been trained to accept or reject application based on certain input criteria say, for example, loans. In this case, the computer tracked how long it took for […]

The Rise and Fall of Names

Information cascades commonly occur in many parts of society including restaurants, social media trends, and television. How about names? Nate Silver points out that it is often easy to estimate how old someone is based solely off her name. For instance, the name Brittany has fluctuated much in the last 50 years. In 1965, the […]

Can Game Theory Help Clear Space Debris?

The article discusses using Game Theory to attempt to clean up space debris. Space debris is caused by fragments broken off of ageing satellites or used rocket launchers, and increase every time two pieces collide and break into smaller pieces. Space debris the size of 10 cm in diameter can be a significant risk to […]

Apple’s Popularity and Networks

In class we discussed the spread of popularity of a product with network effects. The strategies we discussed to get a product to reach new clusters in a network included increasing the quality of the product and making aspects of the product more appealing to a specific cluster. Inspired by an earlier post on this […]

Community Structure and Information Cascade in Signed Networks

Source link: New Generation Computing  Volume 32, Issue 3-4 , pp 257-269               Apart from the rule we learned about information cascade in chapter 16, there may be relationship between cluster signed network and information cascade according to the newly study by Mahsa SHAFAEI and Mahdi JALILI in Sharif University of Technology. According to […]

Tracing Snapchat’s rapid growth

The growth of snapchat is astounding from its quick adoption to its valuation. There are several lenses to look at the growth of snapchat through. First off, lets look at the diffusion of snapchat through networks of people where each person already had one or more social networks he/she used regularly. Once snapchat spread to a […]

Bayes’ Rule in the Presidential Election

Last year, Republican candidate Ted Cruz claimed that more moderate Republican candidates have less chance of winning the election than do less moderate candidates. Recent research conducted by the American Political Science Review Journal highlights the inaccuracy of Cruz’s claim and displays that moderation is rewarded during elections. The Washington Post has used Bayes’ Rule […]

Can Personal Thresholds Explain the American School Shooting Phenomenon?

There have been more than 140 school shootings in the United States since Adam Lanza killed twenty-six people at Sandy Hook Elementary School in 2012. Unfortunately, such incidents are no longer anomalies and have become more of an American phenomenon. In his article for The New Yorker entitled “Thresholds of Violence,” Malcolm Gladwell, the noteworthy […]

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Blogging Calendar

November 2015