Note: All the code for this project (Python) can be found, along with the graphs embedded in the blog on my Github repository. The code is licensed under Apache 2.0 so you’re free to use it for commercial purposes. My GitHub repo is here.Introduction
Network science has grown in popularity in the last few decades, especially with the ubiquity of social media platforms and the internet in general. However, much remains to be explored and discovered in relation to the processes by which networks form, the underlying social forces that underpin their formation, and thus the statistical distributions formed by those social forces.
In this semi-formal blog/paper [...]
Marriage and divorce represent one of the most dominant forces in national social interactions and of the modern day. In US popular culture the divorce rate has been the subject of media discussions and generally societal for a decade, and with it comes supposed justification for a myriad of social change arguments and debates.
For this piece, I briefly outline the makings of a simple system dynamics model that aims to reproduce the marriage and divorce rate through simple stocks and flows, and with particular attention paid to basic population dynamics in the period from the year 2000 to the year 2014. I propose that much of the explanation for variance in [...]
The goal of this project was to provide a role-based social network analysis of corporate personnel and line management for a large government contractor in the Washington, DC area. I took on this project in early 2013. Social network analysis or as it known in the SNA consulting world (those are the guys that run summary measures and call it analysis) Organizational Network Analysis (ONA) can do some interesting things barring deep analysis from the equation which most firms (especially this one) do not want to fund
You’ll note that the analysis was conducted on a single network and that it wasn’t the best type to really get a good understanding of [...]
I got into a long and highly theoretical debate with a fellow Phd student recently, and it prompted this post. It started out as a conversation about a bad class we both took together, and started to veer off into who would, could or would’ve done well in that course. The conversation then steered itself into the concept of geniuses, hard workers, and contributions to society – big and small.
The terrible thing that we as a society often do to ourselves is to label some of us as geniuses – those special alien beings that can do what we can’t. Popular culture would have you believe that those people truly exist. You’ll hear stories about the [...]
As if print publications in the academic community have simply and finally given up altogether, my experience with Science Magazine over the past year has been emblematic of a business model that is struggling for survival. Let me give you some background:Summer of Science
Last summer, as the sun was shining and the birds were chirping and I was feeling the urge to expand my mind so that I can take it all in from the heavens, I decided to support my academic community and the print industry by subscribing to Science Magazine/Journal – one of the premiere science journals in the world, trumped only by Nature (which I’m also a subscriber to). Science is also a [...]
I have been working with networks now for a long time (maybe since 2008?), and after many projects and thousands of hours spent on studying and working with networks, I’ve recently started looking into subjects that make use of graph theory in an attempt to take what I know about graph theory and see if I can build some complementary skills in other areas. So when I started taking a Bayesian Networks (Graphical Probability) course, I was pleasantly surprised at how interesting and how much can be transferred over in terms of basic concepts.Networks are not Networks
The truth is however, the term networks in Bayesian [...]