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 I [...]
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 [...]
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 [...]
The ridesharing economy is experiencing rapid growth and progress. Companies such as Uber and Lyft are continuing to grow while providing their platform as an organizing medium for ridesharing, increasing consumer utility as well as employing thousands in part-time positions.
However, many challenges remain in the modeling of and understanding of rides-haring services, many of which are not currently under investigation by the academic community. In this paper an agent-based model is developed to simulate a ridesharing service in the Washington D.C. metropolitan region. The model forms the basis for future experiments to determine the levels of utility to both riders and [...]
So the analysis of negative ties in social networks is a growing field of study in academic circles and by social network theorists as well as agent-based modelers. Negative ties are basically a network relationship based on some negative or dislike or opposition attitude toward another actor in a network environment. Negative tie analysis is not clearly understood in the literature, and treatment of negative ties both structurally and mathematically is an area of early development in social network methodology and analysis.
But the space is going to become more important. Understanding group behavior under negative tie conditions is an increasingly important [...]
This report was funded by the United States Department of State and the Administrator of the project was NATO STRATCOM Center of Excellence. The full report was originally published by NATO STRATCOM. You can download the ISIS report by clicking on the Knowledge Store product below. Above you will see a recording of my brief at the NATO STRATCOM conference held in August of 2015.
In 2015, I was asked to work with NATO STRATCOM COE in Riga, Latvia on behalf of the US and the State Department to build a foundation for understanding [...]
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